# https://www.openml.org/d/1590

raw_income = read_csv("https://raw.githubusercontent.com/chanks06/ml-model3/main/datasets/openml_1590.csv", na=c("?"))
## Rows: 48842 Columns: 15
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (9): workclass, education, marital-status, occupation, relationship, rac...
## dbl (6): age, fnlwgt, education-num, capital-gain, capital-loss, hours-per-week
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
income = read_csv("https://raw.githubusercontent.com/chanks06/ml-model3/main/datasets/openml_1590.csv", na=c("?")) %>%
  drop_na() %>%
  mutate(income_above_50k = class==">50K") %>%
  select(-class) %>%
  dummy_cols(remove_selected_columns = T)
## Rows: 48842 Columns: 15
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (9): workclass, education, marital-status, occupation, relationship, rac...
## dbl (6): age, fnlwgt, education-num, capital-gain, capital-loss, hours-per-week
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#formatting col names: 
raw_income = raw_income %>% rename_all(funs(str_replace_all(.,"-","_"))) %>% 
                rename_all(funs(tolower(.)))
## Warning: `funs()` was deprecated in dplyr 0.8.0.
## ℹ Please use a list of either functions or lambdas:
## 
## # Simple named list: list(mean = mean, median = median)
## 
## # Auto named with `tibble::lst()`: tibble::lst(mean, median)
## 
## # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## Warning: `funs()` was deprecated in dplyr 0.8.0.
## ℹ Please use a list of either functions or lambdas:
## 
## # Simple named list: list(mean = mean, median = median)
## 
## # Auto named with `tibble::lst()`: tibble::lst(mean, median)
## 
## # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
income = income %>% rename_all(funs(str_replace_all(.,"-","_"))) %>% 
                rename_all(funs(tolower(.)))
## Warning: `funs()` was deprecated in dplyr 0.8.0.
## ℹ Please use a list of either functions or lambdas:
## 
## # Simple named list: list(mean = mean, median = median)
## 
## # Auto named with `tibble::lst()`: tibble::lst(mean, median)
## 
## # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## Warning: `funs()` was deprecated in dplyr 0.8.0.
## ℹ Please use a list of either functions or lambdas:
## 
## # Simple named list: list(mean = mean, median = median)
## 
## # Auto named with `tibble::lst()`: tibble::lst(mean, median)
## 
## # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
options(scipen=999)

INTRODUCTION - MODEL PROJECT 3

Prediction task is to determine whether a person makes over 50k a year.

  • Data from 1994 Census database.
  • fnlwgt: demographic background of the people - people with similar demographic characteristics should have similar weights.

Exploratory Data Analysis

Examining distibution of sex:

n_sex = raw_income %>% 
  group_by(sex) %>% 
    count()
raw_income %>% group_by(sex, class) %>% count() %>% mutate(prop = n/nrow(raw_income))
## # A tibble: 4 × 4
## # Groups:   sex, class [4]
##   sex    class     n   prop
##   <chr>  <chr> <int>  <dbl>
## 1 Female <=50K 14423 0.295 
## 2 Female >50K   1769 0.0362
## 3 Male   <=50K 22732 0.465 
## 4 Male   >50K   9918 0.203
#Only 3.6 % of this dataset includes women who make more than 50k. 

Occupation by sex:

raw_income %>% 
  group_by(occupation,sex) %>% 
          count() %>% 
          ggplot(aes(x = occupation, y = n, fill = sex)) + geom_col() + coord_flip()

#craft-repair, farming/fishing, executive mostly male, admin mostly female 
#there are some ethical considerations to unpack here in building this model...
raw_income %>% group_by(education, workclass) %>% count() %>% ggplot(aes(x = n, y = education, fill = workclass)) + geom_col()

# Age

ggplot(income, aes(x = income_above_50k, y = age, fill = income_above_50k)) + geom_boxplot()

income %>% group_by(income_above_50k) %>% summarize(med_age = median(age), avg_age = mean(age))
## # A tibble: 2 × 3
##   income_above_50k med_age avg_age
##   <lgl>              <dbl>   <dbl>
## 1 FALSE                 34    36.7
## 2 TRUE                  43    44.0
ggplot(income, aes(x = age)) + geom_histogram(binwidth = 10)

#income$age_bin = factor(income$age_bin, levels = c("teen", "20-29","30-39","40-50","50-65","65+"))

#distribution of people by age bin
#ggplot(income, aes(x = age_bin, fill = age_bin)) + geom_histogram(stat= 'count')
#the largest age group in this dataset is 30-39

#ggplot(income, aes(x = age_bin)) + geom_histogram(stat = 'count',aes(fill = income_above_50k)) + facet_wrap(~income_above_50k)
#People in their forties are most likely to be making above 50k. 
raw_income %>% group_by(occupation, class, sex) %>% count() %>% filter(class == '>50K' ) %>% arrange(desc(n))
## # A tibble: 28 × 4
## # Groups:   occupation, class, sex [28]
##    occupation        class sex        n
##    <chr>             <chr> <chr>  <int>
##  1 Exec-managerial   >50K  Male    2487
##  2 Prof-specialty    >50K  Male    2202
##  3 Craft-repair      >50K  Male    1350
##  4 Sales             >50K  Male    1341
##  5 Prof-specialty    >50K  Female   582
##  6 Transport-moving  >50K  Male     468
##  7 Adm-clerical      >50K  Male     459
##  8 Exec-managerial   >50K  Female   421
##  9 Tech-support      >50K  Male     353
## 10 Machine-op-inspct >50K  Male     344
## # ℹ 18 more rows

Given that this dataset is imbalanced in terms of sex, it is likely that a predictive model will select male, between 30-50 years old, in executive-managerial, prof-speciality, craft-repair, or sales.

Changing response variable to a factor:

income = income %>% mutate(income_above_50k = factor(income_above_50k)) %>% relocate(income_above_50k)

Log Transforming capital gain and capital loss:

“You have a capital gain if you sell the asset for more than your adjusted basis. You have a capital loss if you sell the asset for less than your adjusted basis.” https://www.irs.gov/taxtopics/tc409#:~:text=You%20have%20a%20capital%20gain,%2C%20aren't%20tax%20deductible.

#ggplot(income, aes(x = capital_loss)) + geom_histogram()
#definition: capital gain refers to the increase in the value of a capital asset when it is sold. A capital gain occurs when you sell an asset for more than what you originally paid for it. 

income = income %>% mutate(l_capital_gain = log(capital_gain), 
                  l_capital_loss = log(capital_loss)) %>% 
                        select(-capital_gain,-capital_loss) %>% relocate(income_above_50k, l_capital_gain, l_capital_loss)

ggplot(income, aes(x = l_capital_loss)) + geom_histogram()
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## Warning: Removed 43082 rows containing non-finite values (`stat_bin()`).

#changing -Inf back to 0 for log transformed vars: 
income = income %>% mutate(l_capital_gain = ifelse(l_capital_gain == -Inf, 0, l_capital_gain),
                  l_capital_loss = ifelse(l_capital_loss == -Inf, 0, l_capital_loss))

#Now checking out shape of log transformed data: 
ggplot(income, aes(x = l_capital_gain)) + geom_histogram() + xlim(5,12)
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## Warning: Removed 41440 rows containing non-finite values (`stat_bin()`).
## Warning: Removed 2 rows containing missing values (`geom_bar()`).

ggplot(income, aes(x = l_capital_loss)) + geom_histogram() + xlim(5,12)
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## Warning: Removed 43082 rows containing non-finite values (`stat_bin()`).
## Removed 2 rows containing missing values (`geom_bar()`).

income %>% group_by(income_above_50k) %>% summarize(avg_cap_gain = mean(l_capital_gain), avg_cap_loss = mean(l_capital_loss))
## # A tibble: 2 × 3
##   income_above_50k avg_cap_gain avg_cap_loss
##   <fct>                   <dbl>        <dbl>
## 1 FALSE                   0.333        0.228
## 2 TRUE                    1.98         0.743
#people making above over 50k will have greater log capital gain/loss on average  

PART I Principal Component Analysis on Income Dataset

We will apply Principal Component Analysis to our dataset in order to reduce the number of features needed to explain the variation in the data. We reduce the number of dimensions in our feature space through a linear combination of features that share co-variance. This process is based on a calculation of distances within the feature space. Is is therefore essential that we scale and center our numerical data.

Instead of having to manually assess correlation among variables, we call the prcomp() function on our dataset to group our variables together.

The result is that this new combination feature - the ‘principal component’ - captures the variation in the data according to the variables that it represents. Each principal component does not correlate with another - they are as distinct from one another as possible. If we were to graph these linear combination of features, they would form a right angle extend out from the center of the data’s spread.

In practice, this allows us to use only a handful of principal components to explain how the data behaves.

pr_income = prcomp(x = select(income,-income_above_50k), scale = T, center = T)

summary(pr_income)
## Importance of components:
##                            PC1     PC2    PC3     PC4     PC5     PC6     PC7
## Standard deviation     2.13805 1.76182 1.6158 1.53246 1.39287 1.33471 1.30557
## Proportion of Variance 0.04395 0.02985 0.0251 0.02258 0.01865 0.01713 0.01639
## Cumulative Proportion  0.04395 0.07380 0.0989 0.12149 0.14014 0.15727 0.17366
##                            PC8     PC9   PC10   PC11    PC12  PC13    PC14
## Standard deviation     1.25616 1.19824 1.1762 1.1494 1.13345 1.117 1.10106
## Proportion of Variance 0.01517 0.01381 0.0133 0.0127 0.01235 0.012 0.01166
## Cumulative Proportion  0.18883 0.20264 0.2159 0.2286 0.24100 0.253 0.26465
##                           PC15    PC16   PC17    PC18    PC19    PC20    PC21
## Standard deviation     1.09652 1.09033 1.0842 1.08208 1.06551 1.06356 1.05277
## Proportion of Variance 0.01156 0.01143 0.0113 0.01126 0.01092 0.01088 0.01066
## Cumulative Proportion  0.27621 0.28764 0.2989 0.31020 0.32112 0.33200 0.34265
##                           PC22    PC23    PC24    PC25    PC26    PC27    PC28
## Standard deviation     1.05137 1.04406 1.04257 1.04098 1.03841 1.03694 1.03226
## Proportion of Variance 0.01063 0.01048 0.01045 0.01042 0.01037 0.01034 0.01025
## Cumulative Proportion  0.35328 0.36376 0.37422 0.38463 0.39500 0.40534 0.41559
##                           PC29    PC30   PC31    PC32    PC33    PC34    PC35
## Standard deviation     1.03101 1.02961 1.0250 1.02352 1.02314 1.02122 1.01912
## Proportion of Variance 0.01022 0.01019 0.0101 0.01007 0.01007 0.01003 0.00999
## Cumulative Proportion  0.42581 0.43600 0.4461 0.45618 0.46624 0.47627 0.48626
##                           PC36    PC37    PC38    PC39   PC40    PC41    PC42
## Standard deviation     1.01495 1.01376 1.01236 1.01039 1.0097 1.00492 1.00395
## Proportion of Variance 0.00991 0.00988 0.00985 0.00982 0.0098 0.00971 0.00969
## Cumulative Proportion  0.49616 0.50604 0.51590 0.52572 0.5355 0.54523 0.55492
##                           PC43    PC44    PC45    PC46    PC47    PC48    PC49
## Standard deviation     1.00257 1.00213 1.00184 1.00143 1.00142 1.00099 1.00090
## Proportion of Variance 0.00966 0.00966 0.00965 0.00964 0.00964 0.00963 0.00963
## Cumulative Proportion  0.56458 0.57424 0.58389 0.59353 0.60318 0.61281 0.62244
##                           PC50    PC51    PC52    PC53    PC54   PC55    PC56
## Standard deviation     1.00049 1.00035 1.00015 1.00000 0.99954 0.9994 0.99877
## Proportion of Variance 0.00962 0.00962 0.00962 0.00962 0.00961 0.0096 0.00959
## Cumulative Proportion  0.63207 0.64169 0.65131 0.66093 0.67053 0.6801 0.68973
##                           PC57    PC58    PC59    PC60    PC61    PC62    PC63
## Standard deviation     0.99834 0.99739 0.99678 0.99479 0.99474 0.99436 0.99339
## Proportion of Variance 0.00958 0.00957 0.00955 0.00952 0.00951 0.00951 0.00949
## Cumulative Proportion  0.69931 0.70888 0.71843 0.72794 0.73746 0.74697 0.75646
##                           PC64    PC65   PC66    PC67    PC68    PC69    PC70
## Standard deviation     0.99163 0.98918 0.9887 0.98599 0.98565 0.98490 0.98190
## Proportion of Variance 0.00946 0.00941 0.0094 0.00935 0.00934 0.00933 0.00927
## Cumulative Proportion  0.76591 0.77532 0.7847 0.79407 0.80341 0.81273 0.82201
##                           PC71    PC72    PC73    PC74    PC75    PC76    PC77
## Standard deviation     0.98122 0.97881 0.97693 0.96958 0.96596 0.95790 0.95563
## Proportion of Variance 0.00926 0.00921 0.00918 0.00904 0.00897 0.00882 0.00878
## Cumulative Proportion  0.83126 0.84047 0.84965 0.85869 0.86766 0.87649 0.88527
##                           PC78    PC79    PC80    PC81    PC82    PC83   PC84
## Standard deviation     0.95348 0.94928 0.93713 0.92981 0.92669 0.91355 0.9006
## Proportion of Variance 0.00874 0.00866 0.00844 0.00831 0.00826 0.00802 0.0078
## Cumulative Proportion  0.89401 0.90267 0.91112 0.91943 0.92769 0.93571 0.9435
##                           PC85    PC86    PC87    PC88    PC89    PC90    PC91
## Standard deviation     0.89148 0.86012 0.85386 0.81333 0.78869 0.77364 0.73843
## Proportion of Variance 0.00764 0.00711 0.00701 0.00636 0.00598 0.00575 0.00524
## Cumulative Proportion  0.95115 0.95827 0.96528 0.97164 0.97762 0.98337 0.98862
##                           PC92    PC93    PC94    PC95               PC96
## Standard deviation     0.69662 0.65566 0.49844 0.14221 0.0000000000001363
## Proportion of Variance 0.00467 0.00413 0.00239 0.00019 0.0000000000000000
## Cumulative Proportion  0.99328 0.99742 0.99981 1.00000 1.0000000000000000
##                                      PC97                PC98
## Standard deviation     0.0000000000000326 0.00000000000002328
## Proportion of Variance 0.0000000000000000 0.00000000000000000
## Cumulative Proportion  1.0000000000000000 1.00000000000000000
##                                        PC99                PC100
## Standard deviation     0.000000000000007325 0.000000000000006332
## Proportion of Variance 0.000000000000000000 0.000000000000000000
## Cumulative Proportion  1.000000000000000000 1.000000000000000000
##                                      PC101                PC102
## Standard deviation     0.00000000000000627 0.000000000000005439
## Proportion of Variance 0.00000000000000000 0.000000000000000000
## Cumulative Proportion  1.00000000000000000 1.000000000000000000
##                                       PC103                PC104
## Standard deviation     0.000000000000003673 0.000000000000003176
## Proportion of Variance 0.000000000000000000 0.000000000000000000
## Cumulative Proportion  1.000000000000000000 1.000000000000000000
pr_income$rotation
##                                                     PC1           PC2
## l_capital_gain                             0.0923616373 -0.0833515110
## l_capital_loss                             0.0530995976 -0.0493572286
## age                                        0.1853674765 -0.0911942803
## fnlwgt                                    -0.0239205908  0.0658778820
## education_num                              0.1055916471 -0.4563050495
## hours_per_week                             0.1864459077 -0.0537816659
## workclass_federal_gov                      0.0149967479 -0.0755687475
## workclass_local_gov                        0.0196473848 -0.1414389509
## workclass_private                         -0.1328370723  0.2129175334
## workclass_self_emp_inc                     0.0975852137 -0.0697493441
## workclass_self_emp_not_inc                 0.1128219480 -0.0269005082
## workclass_state_gov                        0.0066575696 -0.1208953689
## workclass_without_pay                      0.0017429150  0.0054323075
## education_1st_4th                         -0.0077466330  0.1138791690
## education_5th_6th                         -0.0085449120  0.1524216974
## education_7th_8th                          0.0120930651  0.1166632733
## education_9th                             -0.0100710347  0.1014521959
## education_10th                            -0.0245059490  0.0983568901
## education_11th                            -0.0515085210  0.1022695407
## education_12th                            -0.0279129368  0.0547626026
## education_assoc_acdm                      -0.0047882352 -0.0582891538
## education_assoc_voc                        0.0088942449 -0.0301976281
## education_bachelors                        0.0589956471 -0.2274957918
## education_doctorate                        0.0507954289 -0.1081514592
## education_hs_grad                         -0.0185114613  0.1728435255
## education_masters                          0.0599554134 -0.1922344184
## education_preschool                       -0.0124384115  0.0628771029
## education_prof_school                      0.0681766955 -0.1144658227
## education_some_college                    -0.0587767414 -0.0080668994
## marital_status_divorced                   -0.1229730733 -0.1212454677
## marital_status_married_af_spouse          -0.0043516790 -0.0083834214
## marital_status_married_civ_spouse          0.3981202888  0.0649621466
## marital_status_married_spouse_absent      -0.0355527574  0.0260144023
## marital_status_never_married              -0.2761117524  0.0268813273
## marital_status_separated                  -0.0704950778  0.0045678594
## marital_status_widowed                    -0.0642454344 -0.0387835609
## occupation_adm_clerical                   -0.1358354490 -0.0758452608
## occupation_armed_forces                    0.0024957793 -0.0043807938
## occupation_craft_repair                    0.0914171417  0.1594395771
## occupation_exec_managerial                 0.0848952872 -0.1347854195
## occupation_farming_fishing                 0.0518844605  0.0754341349
## occupation_handlers_cleaners              -0.0288702538  0.1270228999
## occupation_machine_op_inspct              -0.0139063738  0.1335980890
## occupation_other_service                  -0.1408680277  0.0849964512
## occupation_priv_house_serv                -0.0476215810  0.0338846569
## occupation_prof_specialty                  0.0603022796 -0.2830253069
## occupation_protective_serv                 0.0305975866 -0.0203444843
## occupation_sales                          -0.0074659076 -0.0051825731
## occupation_tech_support                   -0.0124732920 -0.0364552810
## occupation_transport_moving                0.0516851745  0.0996966439
## relationship_husband                       0.4156261849  0.1004001720
## relationship_not_in_family                -0.1707135408 -0.1280863026
## relationship_other_relative               -0.0642586429  0.0855417727
## relationship_own_child                    -0.1861950216  0.0880259224
## relationship_unmarried                    -0.1543841504 -0.0610359720
## relationship_wife                         -0.0265891363 -0.0963561853
## race_amer_indian_eskimo                   -0.0188167076  0.0074857919
## race_asian_pac_islander                   -0.0113370723  0.0069586964
## race_black                                -0.1160219471  0.0292507462
## race_other                                -0.0218731549  0.0647881482
## race_white                                 0.1137401498 -0.0464712430
## sex_female                                -0.3322547356 -0.1951307915
## sex_male                                   0.3322547356  0.1951307915
## native_country_cambodia                    0.0004783866  0.0167504721
## native_country_canada                      0.0056032390  0.0010622037
## native_country_china                       0.0054404006  0.0027751960
## native_country_columbia                   -0.0059618317  0.0233512085
## native_country_cuba                        0.0026257865  0.0181456350
## native_country_dominican_republic         -0.0156614861  0.0460344739
## native_country_ecuador                    -0.0032705280  0.0217814825
## native_country_el_salvador                -0.0167053030  0.0666134212
## native_country_england                     0.0019141785 -0.0058432987
## native_country_france                      0.0023600144 -0.0093651059
## native_country_germany                     0.0002439760 -0.0041492254
## native_country_greece                      0.0119203794  0.0097316083
## native_country_guatemala                  -0.0135834834  0.0549139699
## native_country_haiti                      -0.0152902195  0.0304057513
## native_country_holand_netherlands         -0.0030283742  0.0021339889
## native_country_honduras                   -0.0085537986  0.0103195675
## native_country_hong                       -0.0006233228  0.0062208372
## native_country_hungary                     0.0023019774 -0.0027161385
## native_country_india                       0.0113017134 -0.0088884361
## native_country_iran                        0.0080651747 -0.0049324866
## native_country_ireland                    -0.0008301876  0.0105095247
## native_country_italy                       0.0104546112  0.0274750743
## native_country_jamaica                    -0.0230944775  0.0188583009
## native_country_japan                       0.0005519016 -0.0001060402
## native_country_laos                       -0.0028236900  0.0167889821
## native_country_mexico                     -0.0122120177  0.1975026802
## native_country_nicaragua                  -0.0100998805  0.0217153223
## native_country_outlying_us(guam_usvi_etc) -0.0073895996  0.0049598612
## native_country_peru                       -0.0061814773  0.0150650521
## native_country_philippines                -0.0121562320  0.0153244442
## native_country_poland                      0.0026029353  0.0167773128
## native_country_portugal                    0.0036737412  0.0388595727
## native_country_puerto_rico                -0.0139562390  0.0414105167
## native_country_scotland                   -0.0010188285  0.0033853745
## native_country_south                      -0.0015780969  0.0042826443
## native_country_taiwan                      0.0064338063 -0.0158697767
## native_country_thailand                   -0.0033003576  0.0026302725
## native_country_trinadad&tobago            -0.0066641722  0.0116690975
## native_country_united_states               0.0220716776 -0.1808391289
## native_country_vietnam                    -0.0102348524  0.0242555472
## native_country_yugoslavia                  0.0042718308  0.0117966113
##                                                     PC3            PC4
## l_capital_gain                             0.0303884027 -0.00338654002
## l_capital_loss                             0.0128347124  0.01074755366
## age                                        0.1454686607 -0.35173567600
## fnlwgt                                     0.0273898842  0.04004561414
## education_num                              0.0212320287  0.22944443258
## hours_per_week                             0.0254043615 -0.03026946082
## workclass_federal_gov                      0.0471035038 -0.03680629387
## workclass_local_gov                        0.0570286187 -0.05683336726
## workclass_private                         -0.0914073708  0.10104172309
## workclass_self_emp_inc                     0.0217946703 -0.00443798397
## workclass_self_emp_not_inc                 0.0161289731 -0.08956924490
## workclass_state_gov                        0.0450188872  0.01053916713
## workclass_without_pay                     -0.0004239066 -0.01074392524
## education_1st_4th                          0.0913004231 -0.03667907916
## education_5th_6th                          0.1184839358 -0.03161216409
## education_7th_8th                          0.0395150138 -0.10907378813
## education_9th                              0.0277422792 -0.04939666753
## education_10th                            -0.0166061729 -0.04610474030
## education_11th                            -0.0426924845  0.03409164115
## education_12th                            -0.0129058714  0.03366339515
## education_assoc_acdm                       0.0048251142  0.01110035495
## education_assoc_voc                       -0.0079100711 -0.01571119068
## education_bachelors                        0.0380129198  0.18490307405
## education_doctorate                        0.0609462304  0.05556330583
## education_hs_grad                         -0.0693993002 -0.19124497371
## education_masters                          0.0727424436  0.05176393826
## education_preschool                        0.0526734108 -0.00319834140
## education_prof_school                      0.0546005863  0.06119575678
## education_some_college                    -0.0680513041  0.04774116488
## marital_status_divorced                    0.0173092076 -0.25454540565
## marital_status_married_af_spouse           0.0008945471 -0.00859667156
## marital_status_married_civ_spouse          0.0634366832 -0.06099669459
## marital_status_married_spouse_absent       0.0936945434 -0.02020940209
## marital_status_never_married              -0.1448374549  0.37411931485
## marital_status_separated                   0.0557007444 -0.10941235844
## marital_status_widowed                     0.0608907329 -0.21067154266
## occupation_adm_clerical                    0.0131665812 -0.08938087307
## occupation_armed_forces                   -0.0028345751  0.00789879639
## occupation_craft_repair                   -0.0644293346 -0.03315161675
## occupation_exec_managerial                 0.0162855264  0.00041052882
## occupation_farming_fishing                -0.0034064280 -0.04219676716
## occupation_handlers_cleaners              -0.0455916460  0.07997599172
## occupation_machine_op_inspct               0.0166780875 -0.04908547563
## occupation_other_service                   0.0280135404 -0.02951992360
## occupation_priv_house_serv                 0.0531126085 -0.06224592842
## occupation_prof_specialty                  0.1000240412  0.13002775903
## occupation_protective_serv                 0.0063840388 -0.00713939324
## occupation_sales                          -0.0631862698  0.06112309027
## occupation_tech_support                   -0.0062951607  0.02549120363
## occupation_transport_moving               -0.0347259315 -0.04760975589
## relationship_husband                       0.0219347581 -0.01510983115
## relationship_not_in_family                -0.0406562550  0.02067733923
## relationship_other_relative                0.0785991827  0.03433541133
## relationship_own_child                    -0.1611805709  0.29004193058
## relationship_unmarried                     0.1082431434 -0.27723365743
## relationship_wife                          0.0825182975 -0.11773939329
## race_amer_indian_eskimo                    0.0390876832 -0.02002601491
## race_asian_pac_islander                    0.3999410197  0.21954243485
## race_black                                 0.1618317095 -0.06633705527
## race_other                                 0.1134527791  0.01735253845
## race_white                                -0.3686530031 -0.04899095202
## sex_female                                 0.0816658253 -0.20176589268
## sex_male                                  -0.0816658253  0.20176589268
## native_country_cambodia                    0.0627316512  0.03135263879
## native_country_canada                      0.0480031818  0.01194470064
## native_country_china                       0.1533105044  0.07314486837
## native_country_columbia                    0.0386201602  0.00009257474
## native_country_cuba                        0.0505994883 -0.00577869059
## native_country_dominican_republic          0.0625112995 -0.00519905632
## native_country_ecuador                     0.0372706200  0.00348239945
## native_country_el_salvador                 0.0543236078  0.00798325652
## native_country_england                     0.0461094051  0.01581031636
## native_country_france                      0.0287200677  0.01163734473
## native_country_germany                     0.0552012763  0.01654212652
## native_country_greece                      0.0258284110  0.00034302351
## native_country_guatemala                   0.0424181465  0.00586869779
## native_country_haiti                       0.0710846830 -0.00296517698
## native_country_holand_netherlands          0.0034742272  0.00321547179
## native_country_honduras                    0.0252088267 -0.00584973594
## native_country_hong                        0.0648003310  0.03445974567
## native_country_hungary                     0.0172234288 -0.00008297612
## native_country_india                       0.1562751156  0.10249992187
## native_country_iran                        0.0457407614  0.02685129895
## native_country_ireland                     0.0168925967  0.01340361607
## native_country_italy                       0.0414802415 -0.00680182460
## native_country_jamaica                     0.0801472199  0.00376771866
## native_country_japan                       0.0919967710  0.04640298643
## native_country_laos                        0.0635022235  0.02666032276
## native_country_mexico                      0.1447061477  0.00600994824
## native_country_nicaragua                   0.0323788025  0.00434095482
## native_country_outlying_us(guam_usvi_etc)  0.0271332877  0.00913562656
## native_country_peru                        0.0241833481  0.01019123754
## native_country_philippines                 0.2241991282  0.11257497855
## native_country_poland                      0.0318952533  0.00775491151
## native_country_portugal                    0.0294698934 -0.01432586767
## native_country_puerto_rico                 0.0682942707 -0.01118464139
## native_country_scotland                    0.0179760469 -0.00092201175
## native_country_south                       0.1345997136  0.06171109629
## native_country_taiwan                      0.1017854847  0.07421034552
## native_country_thailand                    0.0674200428  0.02536191516
## native_country_trinadad&tobago             0.0471646393 -0.00155180269
## native_country_united_states              -0.4469847449 -0.12849032172
## native_country_vietnam                     0.1156761988  0.06343853531
## native_country_yugoslavia                  0.0155524260  0.00048913592
##                                                     PC5           PC6
## l_capital_gain                             0.0270877253 -0.0459481952
## l_capital_loss                             0.0136751337 -0.0246687020
## age                                        0.0439684568  0.0084423622
## fnlwgt                                    -0.0002335946  0.0512054820
## education_num                             -0.0013802695 -0.0953721967
## hours_per_week                             0.0311602104  0.0304886754
## workclass_federal_gov                     -0.0973400297  0.1092937931
## workclass_local_gov                       -0.0765566299  0.2804011379
## workclass_private                          0.0719939579 -0.4941111083
## workclass_self_emp_inc                     0.0256675705  0.0609881028
## workclass_self_emp_not_inc                 0.0351270633  0.2839228221
## workclass_state_gov                       -0.0485086024  0.1838417367
## workclass_without_pay                     -0.0083056781  0.0177038122
## education_1st_4th                          0.1607635878  0.0677208259
## education_5th_6th                          0.2014791639  0.0784300680
## education_7th_8th                          0.0577964797  0.0815121963
## education_9th                              0.0360602365  0.0468042741
## education_10th                            -0.0133373363  0.0459961603
## education_11th                            -0.0290910862  0.0337045136
## education_12th                            -0.0088479942  0.0300024296
## education_assoc_acdm                      -0.0049001406 -0.0265109492
## education_assoc_voc                        0.0022311520 -0.0339392553
## education_bachelors                        0.0951309833 -0.0855972628
## education_doctorate                        0.0442869518  0.0351005809
## education_hs_grad                         -0.1467543255 -0.0439102912
## education_masters                          0.0628575579  0.0538565132
## education_preschool                        0.0640947458  0.0565892310
## education_prof_school                      0.0458132231  0.0576503200
## education_some_college                    -0.0695828665 -0.0191218108
## marital_status_divorced                    0.0759317502  0.0307120342
## marital_status_married_af_spouse          -0.0018205933 -0.0397934983
## marital_status_married_civ_spouse         -0.0825857270 -0.2106067715
## marital_status_married_spouse_absent       0.0735967011  0.0500554397
## marital_status_never_married               0.0085493448  0.1728884781
## marital_status_separated                  -0.0387638329  0.0283144606
## marital_status_widowed                     0.0580518310  0.0255118024
## occupation_adm_clerical                   -0.0631755256 -0.1026074103
## occupation_armed_forces                   -0.0178787459  0.0393275147
## occupation_craft_repair                   -0.0395527622  0.0177672372
## occupation_exec_managerial                 0.0546418806 -0.0889236476
## occupation_farming_fishing                 0.0648587343  0.2274674843
## occupation_handlers_cleaners              -0.0179288263  0.0412654801
## occupation_machine_op_inspct              -0.0036074622 -0.0859877953
## occupation_other_service                  -0.0245248503  0.0525819001
## occupation_priv_house_serv                 0.0889290992 -0.0068491416
## occupation_prof_specialty                  0.1066519568  0.1054047524
## occupation_protective_serv                -0.1054776305  0.1964313579
## occupation_sales                           0.0265885963 -0.1360247375
## occupation_tech_support                   -0.0080800128 -0.0639493983
## occupation_transport_moving               -0.0809982036  0.0206323869
## relationship_husband                      -0.0912566577 -0.0976252950
## relationship_not_in_family                 0.1864306173  0.1916648993
## relationship_other_relative                0.0393665055  0.0352086641
## relationship_own_child                    -0.0937545890  0.0542099271
## relationship_unmarried                    -0.0432328224 -0.0133601126
## relationship_wife                          0.0144709269 -0.2710763390
## race_amer_indian_eskimo                   -0.1239506167  0.0536462483
## race_asian_pac_islander                   -0.1132663517 -0.1258730645
## race_black                                -0.4510220886  0.1085686058
## race_other                                 0.0346932030  0.0431643719
## race_white                                 0.4594497636 -0.0564895787
## sex_female                                 0.0651499868 -0.1633343998
## sex_male                                  -0.0651499868  0.1633343998
## native_country_cambodia                   -0.0131082584 -0.0180734125
## native_country_canada                      0.0848262745 -0.0028072352
## native_country_china                      -0.0238035409 -0.0449573431
## native_country_columbia                    0.0577562154  0.0014308318
## native_country_cuba                        0.0780296162  0.0096589807
## native_country_dominican_republic          0.0488163203  0.0136104897
## native_country_ecuador                     0.0352187154 -0.0008637795
## native_country_el_salvador                 0.1159595944  0.0288585358
## native_country_england                     0.0709429446 -0.0064786669
## native_country_france                      0.0439839411  0.0044232342
## native_country_germany                     0.0767117953 -0.0108920389
## native_country_greece                      0.0412125149 -0.0021063967
## native_country_guatemala                   0.0925049762  0.0346417150
## native_country_haiti                      -0.0574353826  0.0337109203
## native_country_holand_netherlands          0.0082286273 -0.0056054325
## native_country_honduras                    0.0288745643  0.0125200337
## native_country_hong                       -0.0071096437 -0.0262488700
## native_country_hungary                     0.0358393224  0.0053932207
## native_country_india                      -0.0186841338 -0.0220420119
## native_country_iran                        0.0353542618 -0.0006638019
## native_country_ireland                     0.0417452658 -0.0006805747
## native_country_italy                       0.0745044581  0.0000268455
## native_country_jamaica                    -0.0695813162  0.0214893855
## native_country_japan                       0.0027440819 -0.0349299572
## native_country_laos                       -0.0108729012 -0.0312608269
## native_country_mexico                      0.2976134341  0.1119849717
## native_country_nicaragua                   0.0368249557 -0.0011308990
## native_country_outlying_us(guam_usvi_etc)  0.0031703201  0.0009436581
## native_country_peru                        0.0362901492 -0.0084267392
## native_country_philippines                -0.0462116257 -0.0895641803
## native_country_poland                      0.0581681317 -0.0074964594
## native_country_portugal                    0.0518526138  0.0012242666
## native_country_puerto_rico                 0.0634874281  0.0140777447
## native_country_scotland                    0.0260347036 -0.0058088405
## native_country_south                      -0.0331430264 -0.0364040210
## native_country_taiwan                     -0.0142685490 -0.0293477475
## native_country_thailand                   -0.0070737413 -0.0151060595
## native_country_trinadad&tobago            -0.0348633200  0.0040525569
## native_country_united_states              -0.2889664061 -0.0105724562
## native_country_vietnam                    -0.0301736308 -0.0399685583
## native_country_yugoslavia                  0.0299445734 -0.0044159271
##                                                      PC7           PC8
## l_capital_gain                             0.01461576798 -0.0596276001
## l_capital_loss                             0.01159533666 -0.0230599625
## age                                        0.09063046272  0.0457591337
## fnlwgt                                     0.00725840314 -0.2591168360
## education_num                              0.08049265039 -0.0967632241
## hours_per_week                             0.24026235569 -0.0285513179
## workclass_federal_gov                     -0.03699178923  0.0232278754
## workclass_local_gov                       -0.17446287771 -0.0819685541
## workclass_private                          0.23029445431 -0.1932054102
## workclass_self_emp_inc                    -0.01705876730  0.0799746731
## workclass_self_emp_not_inc                -0.08885885282  0.3048228536
## workclass_state_gov                       -0.11012984293  0.0061076115
## workclass_without_pay                     -0.03527879481  0.0486145209
## education_1st_4th                         -0.04671867326 -0.0848184595
## education_5th_6th                         -0.06576765520 -0.1173800729
## education_7th_8th                         -0.04037089962  0.0394357279
## education_9th                             -0.02963677595 -0.0484102574
## education_10th                            -0.03043755596  0.0035236171
## education_11th                            -0.07981743910 -0.0006599284
## education_12th                            -0.04283566922 -0.0272762573
## education_assoc_acdm                       0.00941198301 -0.0296666539
## education_assoc_voc                        0.02295715694  0.0008818499
## education_bachelors                        0.05578828553 -0.1184874979
## education_doctorate                        0.01158939944 -0.0533291822
## education_hs_grad                          0.15485488306  0.1675834550
## education_masters                         -0.00145792616 -0.1154877952
## education_preschool                       -0.01790911816 -0.0166975962
## education_prof_school                     -0.00162439713 -0.0326748921
## education_some_college                    -0.13658886192  0.0695541418
## marital_status_divorced                    0.31228916177  0.0647845227
## marital_status_married_af_spouse          -0.05160274152  0.0137118808
## marital_status_married_civ_spouse         -0.24477467850 -0.0577399546
## marital_status_married_spouse_absent       0.05572929161 -0.0137891538
## marital_status_never_married              -0.01622949617  0.0237783813
## marital_status_separated                   0.07155244923 -0.1020075958
## marital_status_widowed                     0.02645412601  0.0853596663
## occupation_adm_clerical                   -0.12082940455  0.0785517298
## occupation_armed_forces                   -0.00601647759  0.0059494545
## occupation_craft_repair                    0.12074063737  0.0966388084
## occupation_exec_managerial                 0.08043936880 -0.0350553576
## occupation_farming_fishing                -0.06257909941  0.1900354030
## occupation_handlers_cleaners               0.02239867185 -0.0675976031
## occupation_machine_op_inspct               0.08208702969 -0.0945094319
## occupation_other_service                  -0.11873014510  0.0314640415
## occupation_priv_house_serv                -0.02417832694 -0.0646277023
## occupation_prof_specialty                 -0.05130742970 -0.1835771308
## occupation_protective_serv                -0.08290101323 -0.0451626670
## occupation_sales                           0.00693570603  0.0911096854
## occupation_tech_support                    0.02955748814 -0.0238808590
## occupation_transport_moving                0.08154860284 -0.0216314878
## relationship_husband                      -0.07774971729 -0.0563783121
## relationship_not_in_family                 0.41074135376  0.0394497698
## relationship_other_relative               -0.02597704473 -0.0407488914
## relationship_own_child                    -0.23182231458  0.0916124525
## relationship_unmarried                     0.08515900122 -0.0447112511
## relationship_wife                         -0.38767585572 -0.0058490612
## race_amer_indian_eskimo                    0.01014830107  0.0007363064
## race_asian_pac_islander                    0.08873152873  0.3738545214
## race_black                                 0.05958124527 -0.3364640731
## race_other                                -0.00940249225 -0.1554375925
## race_white                                -0.09331075989  0.1413897939
## sex_female                                -0.19593153011  0.0308299870
## sex_male                                   0.19593153011 -0.0308299870
## native_country_cambodia                    0.02862333850  0.0620651947
## native_country_canada                     -0.01056602235  0.0021070350
## native_country_china                       0.03149395177  0.1130380826
## native_country_columbia                    0.00426908731 -0.0237969017
## native_country_cuba                       -0.02184810364 -0.0228758939
## native_country_dominican_republic         -0.00698394816 -0.0774938140
## native_country_ecuador                     0.00005973213 -0.0425588927
## native_country_el_salvador                -0.05114608185 -0.0616465816
## native_country_england                     0.01252012960 -0.0210683328
## native_country_france                      0.00920510812 -0.0191742258
## native_country_germany                    -0.01308465632 -0.0141271993
## native_country_greece                     -0.00382230097  0.0238893115
## native_country_guatemala                  -0.01297724285 -0.0511546290
## native_country_haiti                      -0.00057080746 -0.1056775053
## native_country_holand_netherlands         -0.00421321368 -0.0012485693
## native_country_honduras                   -0.00824521911 -0.0237855012
## native_country_hong                        0.00746336788  0.0434890829
## native_country_hungary                     0.00740563340  0.0094070172
## native_country_india                       0.04630233234  0.0870723448
## native_country_iran                        0.00842946873 -0.0079638089
## native_country_ireland                     0.02864981695  0.0097294532
## native_country_italy                      -0.03068962831 -0.0025121310
## native_country_jamaica                     0.01569085445 -0.1282373005
## native_country_japan                       0.03009013055  0.0614915148
## native_country_laos                        0.01221681765  0.0564845369
## native_country_mexico                     -0.08497774584 -0.1736658560
## native_country_nicaragua                  -0.02594249752 -0.0327346859
## native_country_outlying_us(guam_usvi_etc)  0.01859955394 -0.0107981901
## native_country_peru                       -0.01021468631 -0.0254853142
## native_country_philippines                 0.02863145586  0.2164995911
## native_country_poland                      0.00377668082 -0.0010409702
## native_country_portugal                   -0.01470834475  0.0117986071
## native_country_puerto_rico                -0.01806724943 -0.0482173685
## native_country_scotland                   -0.00272313531 -0.0052933195
## native_country_south                       0.03323227538  0.1782322248
## native_country_taiwan                      0.01894670400  0.0623219621
## native_country_thailand                    0.01811242729  0.0662066479
## native_country_trinadad&tobago            -0.00614448292 -0.0421298093
## native_country_united_states               0.02444018429  0.0102805152
## native_country_vietnam                     0.02728743218  0.1372596161
## native_country_yugoslavia                 -0.00695249686  0.0039279676
##                                                     PC9          PC10
## l_capital_gain                             0.0136005700 -0.1066072615
## l_capital_loss                            -0.0010809409 -0.0204524735
## age                                        0.0139447437 -0.0813227971
## fnlwgt                                    -0.0835705920  0.0232959547
## education_num                              0.0033893028  0.0129933308
## hours_per_week                            -0.1032077179 -0.0147128672
## workclass_federal_gov                     -0.1759735795  0.1765688145
## workclass_local_gov                        0.1192078660  0.2520224583
## workclass_private                          0.0813831726 -0.0220681576
## workclass_self_emp_inc                    -0.1709165489 -0.2117941569
## workclass_self_emp_not_inc                -0.0431185598 -0.2840673509
## workclass_state_gov                        0.0405966604  0.1685280173
## workclass_without_pay                      0.0137808585 -0.0172000674
## education_1st_4th                         -0.0450327729 -0.0032315512
## education_5th_6th                         -0.0576065595  0.0221273807
## education_7th_8th                          0.0212185988 -0.1153337657
## education_9th                              0.0167936000 -0.0573589887
## education_10th                             0.0570478216 -0.1261832107
## education_11th                             0.0852873726 -0.1447432586
## education_12th                             0.0288839752 -0.0514320142
## education_assoc_acdm                      -0.0825671229  0.0717138431
## education_assoc_voc                       -0.0378495305  0.0817169099
## education_bachelors                       -0.1249504926 -0.1599294553
## education_doctorate                        0.1673357205 -0.0106418333
## education_hs_grad                          0.3360776547  0.1271027576
## education_masters                          0.1734470784  0.0301785018
## education_preschool                       -0.0173587579 -0.0284146943
## education_prof_school                      0.1868485551 -0.1366122877
## education_some_college                    -0.4704427872  0.1386721932
## marital_status_divorced                   -0.0706004633  0.1390703058
## marital_status_married_af_spouse           0.0185566889  0.0037468877
## marital_status_married_civ_spouse          0.0158821925  0.0186965875
## marital_status_married_spouse_absent      -0.0245529161  0.0001027297
## marital_status_never_married               0.0195766527 -0.0479935325
## marital_status_separated                  -0.0099937801 -0.0688764508
## marital_status_widowed                     0.0682566517 -0.1398660299
## occupation_adm_clerical                   -0.1531878709  0.3077386929
## occupation_armed_forces                   -0.0400909739  0.0506094914
## occupation_craft_repair                    0.0542698618  0.1613677781
## occupation_exec_managerial                -0.2880584158 -0.1285127414
## occupation_farming_fishing                -0.0722428066 -0.2098211895
## occupation_handlers_cleaners               0.0787559175  0.0343699023
## occupation_machine_op_inspct               0.1204724553  0.0201194354
## occupation_other_service                   0.1263820909 -0.1542253353
## occupation_priv_house_serv                 0.0254336590 -0.0750126062
## occupation_prof_specialty                  0.3647681268 -0.0359208221
## occupation_protective_serv                -0.0386556452  0.3197911547
## occupation_sales                          -0.1872094703 -0.2960438440
## occupation_tech_support                   -0.1212050748  0.1050330957
## occupation_transport_moving                0.0891971612  0.0385904326
## relationship_husband                      -0.0266196278  0.0245563772
## relationship_not_in_family                -0.0074182343  0.0329935016
## relationship_other_relative                0.0129076268 -0.0153582301
## relationship_own_child                     0.0266061696 -0.0458641920
## relationship_unmarried                    -0.0520500424 -0.0147223638
## relationship_wife                          0.0988794336 -0.0151342776
## race_amer_indian_eskimo                   -0.0015140429 -0.0062614233
## race_asian_pac_islander                    0.0536793240  0.0484367738
## race_black                                -0.0765128698 -0.1824548721
## race_other                                -0.0620865945  0.0033160746
## race_white                                 0.0545323810  0.1307540567
## sex_female                                 0.0248381246 -0.0481583519
## sex_male                                  -0.0248381246  0.0481583519
## native_country_cambodia                    0.0001592465  0.0150304476
## native_country_canada                      0.0056453053  0.0333861407
## native_country_china                       0.0912573049  0.0117991080
## native_country_columbia                    0.0096272183  0.0345717890
## native_country_cuba                       -0.0319852340  0.0219612110
## native_country_dominican_republic         -0.0224098466 -0.0125815999
## native_country_ecuador                    -0.0168415894  0.0276642969
## native_country_el_salvador                 0.0029495723  0.0025281964
## native_country_england                    -0.0048881814  0.0229204571
## native_country_france                     -0.0066141992  0.0226446736
## native_country_germany                    -0.0467637978  0.0830370761
## native_country_greece                     -0.0324339673 -0.0181338385
## native_country_guatemala                  -0.0095490082  0.0011296932
## native_country_haiti                      -0.0258705754 -0.0708620437
## native_country_holand_netherlands         -0.0043365775  0.0047148463
## native_country_honduras                   -0.0202222142  0.0070178633
## native_country_hong                        0.0245153388  0.0284453014
## native_country_hungary                     0.0039445735 -0.0046992158
## native_country_india                       0.0553239565  0.0139510280
## native_country_iran                       -0.0179316479  0.0023085521
## native_country_ireland                     0.0181046614  0.0222249674
## native_country_italy                       0.0123025805  0.0258236353
## native_country_jamaica                    -0.0567428994 -0.0554427850
## native_country_japan                      -0.0208814286  0.0209921678
## native_country_laos                       -0.0003935457  0.0343462270
## native_country_mexico                     -0.0912427957  0.0380639193
## native_country_nicaragua                  -0.0061790601  0.0352336635
## native_country_outlying_us(guam_usvi_etc) -0.0315693764  0.0052026612
## native_country_peru                       -0.0010293708  0.0212950715
## native_country_philippines                 0.0054004740  0.0646245373
## native_country_poland                      0.0116864859  0.0528122275
## native_country_portugal                    0.0190007677  0.0221297101
## native_country_puerto_rico                -0.0201786209  0.0457286656
## native_country_scotland                   -0.0039247594  0.0238662562
## native_country_south                      -0.0153848003 -0.0570081057
## native_country_taiwan                      0.0521109788 -0.0014190730
## native_country_thailand                    0.0058412929 -0.0030075737
## native_country_trinadad&tobago            -0.0211087382 -0.0047454577
## native_country_united_states               0.0593193749 -0.1074915309
## native_country_vietnam                    -0.0039904450  0.0461488208
## native_country_yugoslavia                 -0.0131376325  0.0012369923
##                                                   PC11         PC12
## l_capital_gain                            -0.003803743  0.044601648
## l_capital_loss                             0.007256498 -0.038726489
## age                                       -0.098426962 -0.109836570
## fnlwgt                                     0.069269616  0.029091333
## education_num                              0.052603998  0.113783573
## hours_per_week                             0.146606539  0.074163518
## workclass_federal_gov                      0.153314116  0.055484081
## workclass_local_gov                       -0.031490381 -0.284277886
## workclass_private                         -0.121327497 -0.007318857
## workclass_self_emp_inc                     0.094811338 -0.024752388
## workclass_self_emp_not_inc                 0.103633771  0.241004856
## workclass_state_gov                       -0.062259142  0.015357022
## workclass_without_pay                      0.043398688  0.005402889
## education_1st_4th                          0.003553674 -0.055191654
## education_5th_6th                          0.015079605 -0.048248500
## education_7th_8th                         -0.131420142 -0.116317641
## education_9th                             -0.086748944 -0.073581160
## education_10th                            -0.169837983 -0.109519372
## education_11th                            -0.173523782 -0.051167167
## education_12th                            -0.036455061  0.001330485
## education_assoc_acdm                       0.025317248  0.063013121
## education_assoc_voc                       -0.103578305  0.116254091
## education_bachelors                        0.199717646 -0.222153380
## education_doctorate                       -0.102230546  0.185173142
## education_hs_grad                          0.481093148  0.069367495
## education_masters                         -0.091709716 -0.126272323
## education_preschool                        0.018402550 -0.058504523
## education_prof_school                     -0.084038359  0.302576363
## education_some_college                    -0.365315068  0.114203507
## marital_status_divorced                   -0.155567586  0.073613377
## marital_status_married_af_spouse           0.069359061  0.023022169
## marital_status_married_civ_spouse          0.029925039 -0.016572089
## marital_status_married_spouse_absent       0.018799734  0.050322485
## marital_status_never_married               0.133380467 -0.026042321
## marital_status_separated                  -0.060429190  0.115397399
## marital_status_widowed                    -0.101618042 -0.188610084
## occupation_adm_clerical                    0.163714195  0.152230662
## occupation_armed_forces                    0.066390167  0.023145122
## occupation_craft_repair                   -0.047484056  0.206789580
## occupation_exec_managerial                 0.155466564 -0.303869095
## occupation_farming_fishing                 0.112509932  0.121904590
## occupation_handlers_cleaners              -0.013423186 -0.057338464
## occupation_machine_op_inspct               0.021857385 -0.024379819
## occupation_other_service                  -0.122946107 -0.113369319
## occupation_priv_house_serv                -0.002018448 -0.077431183
## occupation_prof_specialty                 -0.151652879  0.152532380
## occupation_protective_serv                -0.031266445 -0.243612474
## occupation_sales                          -0.011586427  0.038640143
## occupation_tech_support                   -0.087260900  0.043681330
## occupation_transport_moving               -0.004531448 -0.078870177
## relationship_husband                      -0.062529135 -0.003463735
## relationship_not_in_family                 0.091665775 -0.165806658
## relationship_other_relative                0.096492191 -0.002741736
## relationship_own_child                    -0.025427218  0.065074147
## relationship_unmarried                    -0.201196168  0.186117510
## relationship_wife                          0.214856167 -0.026137138
## race_amer_indian_eskimo                   -0.012963039 -0.011524733
## race_asian_pac_islander                   -0.093997883 -0.108451356
## race_black                                 0.081511689  0.029298551
## race_other                                 0.058912423  0.170243395
## race_white                                -0.034395471 -0.012243938
## sex_female                                 0.058477319  0.004546915
## sex_male                                  -0.058477319 -0.004546915
## native_country_cambodia                   -0.011876859 -0.012601773
## native_country_canada                      0.021735500  0.080356303
## native_country_china                      -0.075588608 -0.072596041
## native_country_columbia                    0.030633660  0.097528146
## native_country_cuba                        0.013198251  0.021509744
## native_country_dominican_republic          0.024288353  0.054340358
## native_country_ecuador                     0.027782263  0.088744033
## native_country_el_salvador                -0.001045319 -0.030833709
## native_country_england                     0.061306255  0.018779629
## native_country_france                      0.009148465  0.018568066
## native_country_germany                     0.024509432  0.096276713
## native_country_greece                      0.032052438 -0.006305998
## native_country_guatemala                   0.004829326 -0.025858289
## native_country_haiti                       0.041621427  0.022534162
## native_country_holand_netherlands          0.002226663  0.002917960
## native_country_honduras                   -0.004501778  0.040103699
## native_country_hong                        0.007807123 -0.035689796
## native_country_hungary                     0.032700777  0.016572549
## native_country_india                      -0.087377647  0.063224510
## native_country_iran                        0.015483207  0.069845548
## native_country_ireland                     0.044546491  0.022575654
## native_country_italy                       0.024132130  0.014684591
## native_country_jamaica                     0.082456629  0.082749592
## native_country_japan                       0.017335914 -0.006773578
## native_country_laos                       -0.002454132 -0.023196748
## native_country_mexico                      0.050095078 -0.004905925
## native_country_nicaragua                   0.016480866  0.050717776
## native_country_outlying_us(guam_usvi_etc)  0.002152959 -0.001868068
## native_country_peru                        0.009629351  0.048290871
## native_country_philippines                -0.043386649 -0.099739471
## native_country_poland                      0.010800750  0.027918383
## native_country_portugal                   -0.002563889 -0.011836466
## native_country_puerto_rico                 0.051381795  0.077458205
## native_country_scotland                    0.013421611 -0.001530704
## native_country_south                       0.017078978 -0.025656489
## native_country_taiwan                     -0.046690059  0.006466068
## native_country_thailand                    0.014410618 -0.027580783
## native_country_trinadad&tobago             0.029068522  0.013025251
## native_country_united_states              -0.073369920 -0.088224056
## native_country_vietnam                    -0.023606246 -0.032185549
## native_country_yugoslavia                  0.030574705 -0.013685515
##                                                    PC13         PC14
## l_capital_gain                            -0.0353059468  0.030234510
## l_capital_loss                             0.0015016598 -0.001416552
## age                                       -0.0553231788 -0.095552821
## fnlwgt                                     0.0053705956  0.180750547
## education_num                              0.0521064962  0.003754024
## hours_per_week                            -0.0069658593  0.092778742
## workclass_federal_gov                     -0.1728794401  0.012884119
## workclass_local_gov                        0.1687450168  0.017852296
## workclass_private                         -0.0838509314 -0.022926303
## workclass_self_emp_inc                     0.2619547108  0.100049980
## workclass_self_emp_not_inc                -0.0835561360 -0.052784052
## workclass_state_gov                       -0.0051527520 -0.005290919
## workclass_without_pay                     -0.0250265900  0.015115007
## education_1st_4th                         -0.0790816008  0.044381271
## education_5th_6th                         -0.1121798775  0.308385449
## education_7th_8th                         -0.1393303272 -0.212644461
## education_9th                             -0.0529049214 -0.030661463
## education_10th                            -0.0259836194 -0.024878061
## education_11th                             0.1034206587  0.003489883
## education_12th                             0.0492732154 -0.056948225
## education_assoc_acdm                      -0.0302350454 -0.005899644
## education_assoc_voc                       -0.1295598223 -0.044215721
## education_bachelors                        0.0026491760  0.040627848
## education_doctorate                        0.0081091663  0.005210043
## education_hs_grad                          0.1832155392  0.074028957
## education_masters                          0.0483506215 -0.023545998
## education_preschool                       -0.1260320625  0.042107078
## education_prof_school                     -0.0852852070  0.100950075
## education_some_college                    -0.0719843421 -0.100660248
## marital_status_divorced                    0.0970985524  0.138080843
## marital_status_married_af_spouse          -0.0637137528  0.005618607
## marital_status_married_civ_spouse         -0.0547172841 -0.028487635
## marital_status_married_spouse_absent      -0.0002259692 -0.025049909
## marital_status_never_married              -0.0498633404 -0.056649529
## marital_status_separated                   0.1411344101  0.125834243
## marital_status_widowed                    -0.0351779704 -0.159273083
## occupation_adm_clerical                   -0.1527051418  0.054270989
## occupation_armed_forces                   -0.0798762057  0.010160803
## occupation_craft_repair                   -0.0101250756 -0.121544561
## occupation_exec_managerial                 0.1546452250 -0.014443798
## occupation_farming_fishing                -0.1976732416  0.085886682
## occupation_handlers_cleaners               0.0227224284  0.170660941
## occupation_machine_op_inspct              -0.0870839690 -0.011836175
## occupation_other_service                   0.1292524000 -0.105114093
## occupation_priv_house_serv                -0.0381726112 -0.017331763
## occupation_prof_specialty                 -0.1089092477  0.046456770
## occupation_protective_serv                 0.1688626177 -0.009305833
## occupation_sales                           0.1875007000  0.057726230
## occupation_tech_support                   -0.1806222345 -0.053423229
## occupation_transport_moving                0.0022892567 -0.044452089
## relationship_husband                       0.0170498843 -0.002400994
## relationship_not_in_family                -0.2644575418 -0.218621513
## relationship_other_relative               -0.0303928158  0.097694083
## relationship_own_child                     0.1753614709  0.043657790
## relationship_unmarried                     0.2853992212  0.262314908
## relationship_wife                         -0.1772713809 -0.075421221
## race_amer_indian_eskimo                   -0.0732193630 -0.024996381
## race_asian_pac_islander                   -0.0417059318  0.099184534
## race_black                                -0.0704215177 -0.021902973
## race_other                                 0.0466654569 -0.284480708
## race_white                                 0.0880210808  0.049783441
## sex_female                                -0.0158959987  0.002002683
## sex_male                                   0.0158959987 -0.002002683
## native_country_cambodia                   -0.0405328041 -0.003584891
## native_country_canada                      0.1267276233 -0.132315386
## native_country_china                      -0.0195794286  0.007120930
## native_country_columbia                    0.0689973757 -0.102472475
## native_country_cuba                        0.1257332162 -0.040609410
## native_country_dominican_republic          0.0483295475 -0.211546744
## native_country_ecuador                     0.0550779525 -0.165108698
## native_country_el_salvador                 0.0326172805  0.053370994
## native_country_england                     0.0882035656 -0.105280844
## native_country_france                      0.0535648138 -0.059324906
## native_country_germany                     0.1313743095 -0.091460868
## native_country_greece                      0.1077803008 -0.072900479
## native_country_guatemala                  -0.0162168191 -0.034691194
## native_country_haiti                      -0.0123293227 -0.056050972
## native_country_holand_netherlands         -0.0063420490 -0.008150071
## native_country_honduras                    0.0696145705  0.064059372
## native_country_hong                       -0.0327566057  0.011218108
## native_country_hungary                     0.0065872194 -0.075310946
## native_country_india                       0.0018759664 -0.016926972
## native_country_iran                        0.0834027335 -0.103413371
## native_country_ireland                     0.0355024948 -0.076575139
## native_country_italy                       0.0443924180 -0.035644863
## native_country_jamaica                     0.0383055302 -0.114067100
## native_country_japan                       0.0424009311 -0.014633612
## native_country_laos                       -0.0653397138  0.045946805
## native_country_mexico                     -0.1300843981  0.301119193
## native_country_nicaragua                   0.0544641920 -0.008987660
## native_country_outlying_us(guam_usvi_etc)  0.0152142951 -0.046280633
## native_country_peru                        0.1086792395 -0.056459407
## native_country_philippines                -0.0718934877  0.088136935
## native_country_poland                      0.0603220020 -0.118967380
## native_country_portugal                    0.0374902905 -0.092640898
## native_country_puerto_rico                 0.1143892697 -0.226942633
## native_country_scotland                    0.0623530091 -0.018012029
## native_country_south                       0.0860837589  0.045528165
## native_country_taiwan                      0.0373183982  0.045526067
## native_country_thailand                    0.0397430949  0.012798605
## native_country_trinadad&tobago            -0.0065603326 -0.067185882
## native_country_united_states              -0.1694152110  0.111903875
## native_country_vietnam                    -0.0203739656  0.061808618
## native_country_yugoslavia                  0.0485265926 -0.044751208
##                                                     PC15          PC16
## l_capital_gain                            -0.12775545088  0.0180569825
## l_capital_loss                            -0.02993919183 -0.0252952290
## age                                       -0.11760563444  0.0755300500
## fnlwgt                                    -0.01034857888  0.1342143592
## education_num                              0.04790537633  0.0430167037
## hours_per_week                             0.05192119054 -0.1518287747
## workclass_federal_gov                     -0.26034832108  0.1088005612
## workclass_local_gov                        0.22184831530 -0.0880695277
## workclass_private                          0.03253957197  0.0009078053
## workclass_self_emp_inc                    -0.26051651347 -0.0413292693
## workclass_self_emp_not_inc                 0.18891333071  0.0348815779
## workclass_state_gov                       -0.14146905776  0.0070501328
## workclass_without_pay                     -0.00436119024 -0.0182334691
## education_1st_4th                         -0.03052807236 -0.0530381253
## education_5th_6th                         -0.00976418953 -0.0062550042
## education_7th_8th                         -0.01289154633 -0.0589663766
## education_9th                              0.01368105772 -0.0040036574
## education_10th                             0.00770758804  0.0152470391
## education_11th                             0.04476154203  0.0110628372
## education_12th                            -0.00975891269 -0.0426143548
## education_assoc_acdm                       0.14305932320  0.1077674096
## education_assoc_voc                        0.34046406471  0.1370803153
## education_bachelors                        0.26132815262  0.0373697404
## education_doctorate                       -0.19899903547  0.0669536760
## education_hs_grad                         -0.08702868884  0.0027669653
## education_masters                         -0.09914292815 -0.1005930402
## education_preschool                        0.00875573069  0.0369728205
## education_prof_school                     -0.16205462757 -0.0197352079
## education_some_college                    -0.22201789737 -0.0790693066
## marital_status_divorced                    0.07283311262 -0.1199662691
## marital_status_married_af_spouse           0.03354444950 -0.0209324286
## marital_status_married_civ_spouse          0.02229408054 -0.0001967326
## marital_status_married_spouse_absent       0.03091277461 -0.0390526969
## marital_status_never_married              -0.05109821050  0.0224549635
## marital_status_separated                   0.07332276627  0.0435144316
## marital_status_widowed                    -0.17795719929  0.1715111214
## occupation_adm_clerical                   -0.18895172136 -0.0050978191
## occupation_armed_forces                   -0.16674232546  0.0386364281
## occupation_craft_repair                    0.16154298244  0.2311983384
## occupation_exec_managerial                -0.14267978469  0.0102220533
## occupation_farming_fishing                 0.17653417219 -0.0904064966
## occupation_handlers_cleaners              -0.12731139624 -0.0201799753
## occupation_machine_op_inspct              -0.05884892676 -0.2653291822
## occupation_other_service                   0.01854907346  0.1815448360
## occupation_priv_house_serv                -0.06411083121  0.1419297812
## occupation_prof_specialty                 -0.00892686212 -0.0351547544
## occupation_protective_serv                 0.18699517273 -0.0708158972
## occupation_sales                           0.09242245254 -0.1406179053
## occupation_tech_support                    0.21022165742  0.1608869125
## occupation_transport_moving               -0.10864759605 -0.0966915554
## relationship_husband                      -0.00963354127  0.0314078870
## relationship_not_in_family                -0.04420072055  0.0062371261
## relationship_other_relative               -0.03516799546 -0.0158409293
## relationship_own_child                    -0.04667300536  0.0052510220
## relationship_unmarried                     0.09605175095 -0.0079938502
## relationship_wife                          0.08112004569 -0.0709384790
## race_amer_indian_eskimo                    0.04722492484 -0.1578223947
## race_asian_pac_islander                    0.00706703047 -0.0386968836
## race_black                                -0.00236297619  0.1323762536
## race_other                                 0.04225340737 -0.4061076286
## race_white                                -0.02544544823  0.0550298689
## sex_female                                 0.03051144659 -0.0271547855
## sex_male                                  -0.03051144659  0.0271547855
## native_country_cambodia                    0.02386527783  0.0008410017
## native_country_canada                     -0.00917072002  0.1117444707
## native_country_china                      -0.06391299921  0.0022329104
## native_country_columbia                    0.00473878148 -0.0073116516
## native_country_cuba                       -0.04847794937  0.0674610275
## native_country_dominican_republic          0.01243897847 -0.2705923138
## native_country_ecuador                     0.00712813587 -0.1887908985
## native_country_el_salvador                -0.02564801367  0.1354765705
## native_country_england                    -0.01667205955  0.1409741978
## native_country_france                      0.00055528967  0.0550422321
## native_country_germany                     0.03562138332  0.1476310109
## native_country_greece                     -0.05195081248  0.0633632124
## native_country_guatemala                  -0.02149167022  0.0246480358
## native_country_haiti                      -0.01144294693  0.1605700078
## native_country_holand_netherlands         -0.02311829929 -0.0346912096
## native_country_honduras                   -0.00517336858 -0.0025550784
## native_country_hong                        0.02494738878  0.0046906138
## native_country_hungary                    -0.00001374498  0.1006249469
## native_country_india                      -0.06400809119 -0.0934755430
## native_country_iran                        0.02018184067 -0.0277828546
## native_country_ireland                     0.02614908006  0.0578883843
## native_country_italy                      -0.04163216088  0.0890743613
## native_country_jamaica                     0.01270895341  0.1737179441
## native_country_japan                      -0.00518143909  0.0183326492
## native_country_laos                        0.01974641375 -0.0296632581
## native_country_mexico                      0.02908445000 -0.0597861874
## native_country_nicaragua                  -0.03042875248  0.0425545671
## native_country_outlying_us(guam_usvi_etc) -0.00461379541  0.0495596804
## native_country_peru                        0.04056836696 -0.0068781347
## native_country_philippines                 0.06931321354  0.0253034631
## native_country_poland                      0.00586584959  0.1195976901
## native_country_portugal                   -0.01061223125 -0.0002391726
## native_country_puerto_rico                 0.01047977077 -0.1446555597
## native_country_scotland                    0.01041736942  0.0297278601
## native_country_south                       0.04063376914 -0.0383074981
## native_country_taiwan                     -0.08919784408  0.0010080761
## native_country_thailand                    0.00909695813  0.0243863619
## native_country_trinadad&tobago            -0.01863819314  0.0262586008
## native_country_united_states               0.00179835705 -0.1077517895
## native_country_vietnam                     0.03130158855 -0.0164169080
## native_country_yugoslavia                 -0.00336049711  0.0774502954
##                                                    PC17          PC18
## l_capital_gain                            -0.0392322209  0.0018627543
## l_capital_loss                             0.0436092726 -0.0288990605
## age                                       -0.0459645520 -0.1073655825
## fnlwgt                                     0.1241714384 -0.1367865112
## education_num                             -0.0207812457 -0.0146207430
## hours_per_week                             0.1276776801  0.0613616361
## workclass_federal_gov                     -0.3682237261  0.0702246181
## workclass_local_gov                        0.0336418472 -0.1436963022
## workclass_private                          0.0309822663 -0.0053328207
## workclass_self_emp_inc                     0.0308645038 -0.0053422681
## workclass_self_emp_not_inc                 0.0671049997  0.0290796767
## workclass_state_gov                        0.0887664819  0.0938700950
## workclass_without_pay                     -0.0297384853  0.0166565599
## education_1st_4th                         -0.0677916260 -0.0415318076
## education_5th_6th                          0.0553102153  0.0088512283
## education_7th_8th                         -0.0818938469 -0.0205349288
## education_9th                              0.0054698532  0.0604586757
## education_10th                            -0.0235357108  0.0985943615
## education_11th                            -0.1935451753  0.0700493634
## education_12th                            -0.0889158309  0.0333597817
## education_assoc_acdm                      -0.0563861059  0.0100090716
## education_assoc_voc                       -0.1161652682  0.1701380984
## education_bachelors                       -0.2332983970 -0.0999927380
## education_doctorate                        0.0988274125  0.0356571031
## education_hs_grad                          0.0597041443 -0.0624413453
## education_masters                          0.0959715447  0.2114493525
## education_preschool                        0.1632628721  0.0365165851
## education_prof_school                     -0.0289039035 -0.1274598182
## education_some_college                     0.2821178006 -0.1022421483
## marital_status_divorced                    0.0587198189  0.1169985817
## marital_status_married_af_spouse           0.0616714083  0.0178838710
## marital_status_married_civ_spouse          0.0355291102 -0.0018874023
## marital_status_married_spouse_absent      -0.0232211413 -0.0308205967
## marital_status_never_married               0.0046410515  0.0028853631
## marital_status_separated                  -0.0384310675  0.0174005527
## marital_status_widowed                    -0.1969761536 -0.2476825491
## occupation_adm_clerical                   -0.0905554610 -0.0854654191
## occupation_armed_forces                   -0.2089049712  0.0353986829
## occupation_craft_repair                    0.0120380357  0.0055047780
## occupation_exec_managerial                -0.0210829017  0.4281781691
## occupation_farming_fishing                 0.0336665281  0.1115762405
## occupation_handlers_cleaners              -0.1918941367  0.0731730157
## occupation_machine_op_inspct               0.0673465899  0.0491365648
## occupation_other_service                   0.1130818069  0.2082734096
## occupation_priv_house_serv                -0.1600549200 -0.1988288215
## occupation_prof_specialty                 -0.0034428108 -0.0668431794
## occupation_protective_serv                 0.0821780180 -0.2233556947
## occupation_sales                           0.0897655336 -0.4793097149
## occupation_tech_support                   -0.1340134617  0.0518488298
## occupation_transport_moving                0.0620548411 -0.0687507111
## relationship_husband                      -0.0301765976 -0.0268190184
## relationship_not_in_family                 0.1802019110 -0.0904137510
## relationship_other_relative               -0.1045034818 -0.1020247562
## relationship_own_child                    -0.0837670435  0.0733602884
## relationship_unmarried                    -0.1730555030  0.0960302758
## relationship_wife                          0.1742010108  0.0698505452
## race_amer_indian_eskimo                   -0.1132793660  0.1329880221
## race_asian_pac_islander                   -0.0083783922 -0.0132617557
## race_black                                 0.0979854360 -0.0315449988
## race_other                                -0.1626500848  0.0074488311
## race_white                                -0.0050578777 -0.0064429860
## sex_female                                 0.0446073604  0.0001872708
## sex_male                                  -0.0446073604 -0.0001872708
## native_country_cambodia                    0.0312441298 -0.0511336375
## native_country_canada                      0.0808892025  0.0135291779
## native_country_china                       0.0940239697  0.0797074316
## native_country_columbia                   -0.0620884688 -0.0045090292
## native_country_cuba                        0.0244023663 -0.0586758350
## native_country_dominican_republic         -0.0520517975  0.0203592102
## native_country_ecuador                    -0.0804229673 -0.0018831333
## native_country_el_salvador                 0.0171607676 -0.0310360566
## native_country_england                     0.0224411547  0.0332561305
## native_country_france                     -0.0036529996  0.0132240151
## native_country_germany                     0.0137176283 -0.0134731169
## native_country_greece                      0.0360266505  0.0828118656
## native_country_guatemala                  -0.1519252565 -0.1302249410
## native_country_haiti                       0.1604676122 -0.0038273434
## native_country_holand_netherlands          0.0167248095 -0.0126936364
## native_country_honduras                   -0.0010324334 -0.0357803575
## native_country_hong                        0.0684777899  0.0319699923
## native_country_hungary                    -0.0012613791 -0.0296597479
## native_country_india                      -0.0460709695 -0.0513030598
## native_country_iran                        0.0009352914  0.0409473625
## native_country_ireland                     0.0219178699  0.0195697867
## native_country_italy                       0.0181712701 -0.0035615975
## native_country_jamaica                     0.1200167798 -0.0137325836
## native_country_japan                       0.0484025445  0.0492293196
## native_country_laos                        0.0534598163 -0.0107980146
## native_country_mexico                      0.0678779804  0.0525616781
## native_country_nicaragua                  -0.0389120160 -0.0462127985
## native_country_outlying_us(guam_usvi_etc)  0.0565643771  0.0102576353
## native_country_peru                       -0.0002763405 -0.0073787261
## native_country_philippines                -0.1186513114 -0.0583529504
## native_country_poland                     -0.0228772107 -0.0203674045
## native_country_portugal                   -0.0429680851  0.0553104155
## native_country_puerto_rico                -0.1194134815  0.0200193738
## native_country_scotland                    0.0424726420  0.0316743721
## native_country_south                       0.0214812904 -0.0304808755
## native_country_taiwan                      0.0610950621  0.0418942484
## native_country_thailand                    0.0075532651  0.0197040417
## native_country_trinadad&tobago             0.0880100640  0.0099260268
## native_country_united_states              -0.0475355795 -0.0097548198
## native_country_vietnam                    -0.0217216251 -0.0140565654
## native_country_yugoslavia                  0.0167151027  0.0547861599
##                                                     PC19          PC20
## l_capital_gain                            -0.02726659851  0.2363371236
## l_capital_loss                            -0.02362709312 -0.1114555814
## age                                        0.03383842052 -0.0175069769
## fnlwgt                                     0.05595427630 -0.0163867371
## education_num                             -0.03513196589 -0.0400140394
## hours_per_week                             0.01634771881  0.0691089694
## workclass_federal_gov                      0.08508541889  0.0916613950
## workclass_local_gov                       -0.00543097292  0.2219667175
## workclass_private                          0.01477253659  0.0087946975
## workclass_self_emp_inc                    -0.05724926373  0.1513655155
## workclass_self_emp_not_inc                -0.02130037582 -0.0270155854
## workclass_state_gov                       -0.02647718365 -0.4710407037
## workclass_without_pay                      0.09738867415 -0.0529081526
## education_1st_4th                         -0.02736186721 -0.0232319816
## education_5th_6th                         -0.08984673929 -0.0111072126
## education_7th_8th                          0.21444887362 -0.0494728408
## education_9th                              0.00776042436  0.0755183558
## education_10th                             0.09817279930  0.0384303169
## education_11th                             0.02778524562  0.0667539371
## education_12th                             0.05076274248  0.0359431778
## education_assoc_acdm                       0.07260175543  0.0519603310
## education_assoc_voc                       -0.06291878604  0.0766734292
## education_bachelors                        0.15924583846 -0.1859173345
## education_doctorate                        0.03182292529 -0.3781244476
## education_hs_grad                         -0.06821118017 -0.0642398345
## education_masters                         -0.17312463237  0.1394364737
## education_preschool                        0.02652880696  0.0114689092
## education_prof_school                      0.03631706918  0.3384038572
## education_some_college                    -0.10362671278  0.0404581920
## marital_status_divorced                    0.06402260706  0.0989726260
## marital_status_married_af_spouse          -0.03712574684  0.0181931270
## marital_status_married_civ_spouse         -0.01057453371 -0.0036213663
## marital_status_married_spouse_absent      -0.08322548647 -0.0845824181
## marital_status_never_married              -0.00216061658  0.0219081223
## marital_status_separated                  -0.03767730391 -0.1204477198
## marital_status_widowed                     0.00480927452 -0.0782126466
## occupation_adm_clerical                    0.13508908136 -0.0067412910
## occupation_armed_forces                   -0.00072999210  0.1056686159
## occupation_craft_repair                   -0.35230979322  0.1039160456
## occupation_exec_managerial                -0.12682571914 -0.0158788980
## occupation_farming_fishing                 0.14507656097 -0.0992170678
## occupation_handlers_cleaners               0.04926700994  0.0703281519
## occupation_machine_op_inspct               0.23840717928 -0.0164346086
## occupation_other_service                  -0.10027067778 -0.0014305254
## occupation_priv_house_serv                -0.24796113917 -0.0692913663
## occupation_prof_specialty                  0.05407779131  0.0516425212
## occupation_protective_serv                 0.02255459194 -0.0111297714
## occupation_sales                          -0.00001336296 -0.0157249697
## occupation_tech_support                    0.02946742622 -0.1197399645
## occupation_transport_moving                0.20470326686 -0.0317415364
## relationship_husband                       0.02329754711 -0.0424932822
## relationship_not_in_family                -0.02535826028  0.0694683765
## relationship_other_relative               -0.29878395037 -0.0493736416
## relationship_own_child                     0.10747556978  0.0065599626
## relationship_unmarried                     0.07655436016 -0.0781856058
## relationship_wife                         -0.05283738757  0.0982489638
## race_amer_indian_eskimo                   -0.14940587438  0.1196500623
## race_asian_pac_islander                   -0.01195884511 -0.0087046027
## race_black                                 0.05312062551  0.0109951745
## race_other                                -0.16424808376 -0.0702010875
## race_white                                 0.04491740666 -0.0208968865
## sex_female                                -0.02040700750  0.0150410676
## sex_male                                   0.02040700750 -0.0150410676
## native_country_cambodia                   -0.03384839154  0.0046650702
## native_country_canada                      0.14972277214  0.0219813392
## native_country_china                      -0.01784660253 -0.1862527912
## native_country_columbia                   -0.00202776472  0.0015144820
## native_country_cuba                        0.15125486124  0.1005181561
## native_country_dominican_republic          0.02127340866  0.0007237017
## native_country_ecuador                    -0.15604741423 -0.0648308775
## native_country_el_salvador                -0.21148281142  0.0201548188
## native_country_england                     0.05385051130 -0.0024252472
## native_country_france                      0.02514666866 -0.0241593486
## native_country_germany                     0.17911071020  0.0597929115
## native_country_greece                     -0.00033795787  0.1123785619
## native_country_guatemala                  -0.18721747162 -0.0382942673
## native_country_haiti                       0.06561802844  0.0498425187
## native_country_holand_netherlands         -0.03251054103 -0.0197887871
## native_country_honduras                   -0.05915787247 -0.0127417869
## native_country_hong                       -0.03585942563 -0.0235829168
## native_country_hungary                    -0.04686091112  0.0399137229
## native_country_india                      -0.04529724516  0.0435067737
## native_country_iran                        0.01501523405 -0.0703385485
## native_country_ireland                     0.01424012921  0.0440979720
## native_country_italy                       0.10465792545  0.0709102663
## native_country_jamaica                     0.02251743967  0.0159334333
## native_country_japan                       0.02046775260  0.0585547705
## native_country_laos                        0.03159451254  0.0480417358
## native_country_mexico                      0.01065475884 -0.0234336236
## native_country_nicaragua                  -0.05448891747 -0.0352547156
## native_country_outlying_us(guam_usvi_etc)  0.04611108297  0.0363356603
## native_country_peru                        0.07073582943 -0.0206036682
## native_country_philippines                 0.08221983306  0.0730105440
## native_country_poland                      0.00505439286 -0.0046694085
## native_country_portugal                    0.17153584150  0.0680348336
## native_country_puerto_rico                 0.04836967650 -0.0259838162
## native_country_scotland                    0.03949367448 -0.0115971355
## native_country_south                      -0.07162059058  0.0404269301
## native_country_taiwan                     -0.00926129898 -0.1240440623
## native_country_thailand                   -0.02920330273  0.0077515358
## native_country_trinadad&tobago             0.02928474927  0.0563769258
## native_country_united_states              -0.10414744587 -0.0556374972
## native_country_vietnam                     0.01362460962  0.0277524279
## native_country_yugoslavia                  0.03852822386  0.0309057378
##                                                    PC21         PC22
## l_capital_gain                            -0.2178275903  0.149080109
## l_capital_loss                             0.2255994525 -0.120388505
## age                                        0.0273893364 -0.025717537
## fnlwgt                                     0.0143337931 -0.007004966
## education_num                              0.0106529531 -0.066262496
## hours_per_week                            -0.0694796621 -0.008841270
## workclass_federal_gov                      0.2060709688  0.075408860
## workclass_local_gov                        0.0135094887 -0.095810665
## workclass_private                          0.0229339771 -0.086101056
## workclass_self_emp_inc                    -0.2275883616  0.260960602
## workclass_self_emp_not_inc                 0.0811458787 -0.148082365
## workclass_state_gov                       -0.1376352876  0.216339872
## workclass_without_pay                     -0.0571850684 -0.123453550
## education_1st_4th                         -0.1782584816 -0.005820619
## education_5th_6th                          0.1176152363  0.044369955
## education_7th_8th                         -0.1077743789 -0.067486632
## education_9th                             -0.0377981577  0.119763288
## education_10th                             0.1095388077  0.155664860
## education_11th                             0.1131925215 -0.031163983
## education_12th                            -0.0574443216 -0.005046973
## education_assoc_acdm                      -0.0368150291 -0.097264034
## education_assoc_voc                       -0.2827724232  0.095262535
## education_bachelors                        0.1356440845  0.195585394
## education_doctorate                       -0.1060802274  0.068712739
## education_hs_grad                         -0.0320282644 -0.006563147
## education_masters                          0.0429031548 -0.431365756
## education_preschool                        0.0757982463  0.044698169
## education_prof_school                     -0.0273284966  0.182632669
## education_some_college                     0.0442012749 -0.083577242
## marital_status_divorced                    0.0214601491  0.010265007
## marital_status_married_af_spouse           0.0306225274  0.099753067
## marital_status_married_civ_spouse          0.0152318855  0.003011792
## marital_status_married_spouse_absent       0.1082400634 -0.095626072
## marital_status_never_married              -0.0677802819 -0.008036286
## marital_status_separated                   0.0623686850  0.111136588
## marital_status_widowed                    -0.0415332757 -0.077109484
## occupation_adm_clerical                    0.0169310601 -0.065126872
## occupation_armed_forces                    0.1912000837  0.056572842
## occupation_craft_repair                    0.0175076593  0.104671816
## occupation_exec_managerial                -0.0673035317 -0.069578701
## occupation_farming_fishing                -0.0756482932 -0.218907779
## occupation_handlers_cleaners              -0.0459613398 -0.205688547
## occupation_machine_op_inspct              -0.2375978977  0.065922232
## occupation_other_service                   0.2095032540  0.266401212
## occupation_priv_house_serv                -0.2302271376 -0.149991974
## occupation_prof_specialty                  0.0570073043 -0.004668460
## occupation_protective_serv                -0.1460980652  0.124295648
## occupation_sales                           0.0407342120 -0.020166490
## occupation_tech_support                   -0.1083114237  0.034390247
## occupation_transport_moving                0.2233488849 -0.061642021
## relationship_husband                       0.0163418396 -0.010267413
## relationship_not_in_family                 0.0338174312  0.107643852
## relationship_other_relative                0.0330148025 -0.013830674
## relationship_own_child                    -0.0875663163 -0.076571522
## relationship_unmarried                     0.0078215524 -0.071668683
## relationship_wife                          0.0004129308  0.044729835
## race_amer_indian_eskimo                    0.0131889179 -0.017792171
## race_asian_pac_islander                   -0.0118545965  0.013572383
## race_black                                -0.0573351587 -0.046242567
## race_other                                 0.0704969190  0.097194990
## race_white                                 0.0322554092  0.012618026
## sex_female                                -0.0221980023  0.004038937
## sex_male                                   0.0221980023 -0.004038937
## native_country_cambodia                   -0.0379918704  0.015995447
## native_country_canada                      0.0473841532  0.041332813
## native_country_china                       0.0393657874  0.007214580
## native_country_columbia                   -0.0093962770  0.006695076
## native_country_cuba                       -0.0257552883 -0.013646601
## native_country_dominican_republic         -0.0710686644  0.076406085
## native_country_ecuador                     0.0366577031  0.027182863
## native_country_el_salvador                 0.1083479175  0.124926957
## native_country_england                    -0.0447411615 -0.090491069
## native_country_france                     -0.0411656393 -0.130391678
## native_country_germany                    -0.0523730864 -0.003622727
## native_country_greece                     -0.0644681505  0.011864601
## native_country_guatemala                  -0.2233332297 -0.121725793
## native_country_haiti                       0.0801668576 -0.019091136
## native_country_holand_netherlands          0.0112462918 -0.035168129
## native_country_honduras                    0.0145103346  0.038728580
## native_country_hong                       -0.0049335318 -0.026444898
## native_country_hungary                     0.0058223737 -0.053162858
## native_country_india                       0.0112846623 -0.038440953
## native_country_iran                        0.0938953770 -0.082960395
## native_country_ireland                     0.0173193564  0.007226774
## native_country_italy                       0.0168340229 -0.011415602
## native_country_jamaica                    -0.0140576757 -0.128530970
## native_country_japan                       0.0289262990  0.003125135
## native_country_laos                       -0.0261793624  0.040204743
## native_country_mexico                      0.0291658347  0.005151811
## native_country_nicaragua                  -0.0037261212 -0.084039850
## native_country_outlying_us(guam_usvi_etc)  0.0031332488 -0.013577556
## native_country_peru                        0.0996689241 -0.015281949
## native_country_philippines                 0.0890619818  0.069579478
## native_country_poland                     -0.0030492325 -0.135018587
## native_country_portugal                   -0.2173418787  0.055828303
## native_country_puerto_rico                 0.1603214466  0.077964249
## native_country_scotland                    0.0460829331 -0.003591719
## native_country_south                      -0.0028837973 -0.037946635
## native_country_taiwan                     -0.1206269394 -0.015181333
## native_country_thailand                   -0.0944019097  0.008502256
## native_country_trinadad&tobago            -0.0386201625 -0.007050316
## native_country_united_states              -0.0056795600  0.035732419
## native_country_vietnam                    -0.0651848866 -0.001748068
## native_country_yugoslavia                 -0.0458921512  0.003533997
##                                                    PC23          PC24
## l_capital_gain                            -0.0310591189 -0.1989613734
## l_capital_loss                            -0.0004913355  0.3132563105
## age                                        0.0021585005  0.0117662136
## fnlwgt                                     0.1417227004  0.1216992108
## education_num                             -0.0209781503  0.0120930995
## hours_per_week                            -0.0825170504 -0.0665630197
## workclass_federal_gov                      0.0100124088  0.1479866391
## workclass_local_gov                        0.0128515440  0.0089060203
## workclass_private                         -0.0073164565 -0.0639366811
## workclass_self_emp_inc                    -0.1032171421  0.0929506410
## workclass_self_emp_not_inc                 0.0609276253  0.0014411573
## workclass_state_gov                        0.0090168782 -0.0850835881
## workclass_without_pay                     -0.0536946319 -0.0144625867
## education_1st_4th                          0.1194159956 -0.0514636507
## education_5th_6th                         -0.1046642465  0.0087222597
## education_7th_8th                          0.0916105472  0.0198193561
## education_9th                              0.0838116912 -0.0233766399
## education_10th                             0.0548348989  0.0391859417
## education_11th                             0.0498262149 -0.0537474707
## education_12th                            -0.0781471064  0.0545833834
## education_assoc_acdm                      -0.2163343922  0.2225121340
## education_assoc_voc                       -0.2056205783  0.0581445247
## education_bachelors                        0.2062232261 -0.1479447113
## education_doctorate                       -0.0008271445 -0.0505140917
## education_hs_grad                         -0.0603726625  0.0075725811
## education_masters                          0.0184111740  0.1821512113
## education_preschool                       -0.0726588194  0.0659269962
## education_prof_school                     -0.1094374585 -0.0231682694
## education_some_college                     0.0370322533 -0.0858610255
## marital_status_divorced                    0.0015448029 -0.0605979817
## marital_status_married_af_spouse           0.0214228941 -0.0820197418
## marital_status_married_civ_spouse         -0.0033886603 -0.0113923989
## marital_status_married_spouse_absent       0.0182417477 -0.2185873099
## marital_status_never_married              -0.0220078546  0.0430710905
## marital_status_separated                   0.0538849574  0.0859762504
## marital_status_widowed                    -0.0029943711  0.1072079134
## occupation_adm_clerical                    0.1163142685 -0.0995746663
## occupation_armed_forces                   -0.0264516194  0.2126327288
## occupation_craft_repair                    0.4032023215  0.0469028633
## occupation_exec_managerial                 0.0399896278 -0.0350138980
## occupation_farming_fishing                -0.0676200953 -0.0577700327
## occupation_handlers_cleaners               0.0719771112 -0.1627574451
## occupation_machine_op_inspct               0.0367217848  0.3406801777
## occupation_other_service                  -0.1426570704  0.0121689123
## occupation_priv_house_serv                -0.0891561629 -0.1106629148
## occupation_prof_specialty                  0.0785315436 -0.0220976042
## occupation_protective_serv                -0.0762086554 -0.0065603045
## occupation_sales                          -0.0242347598  0.1261062707
## occupation_tech_support                   -0.3877168773  0.1553844770
## occupation_transport_moving               -0.4081626567 -0.3214426221
## relationship_husband                      -0.0070193493  0.0064922187
## relationship_not_in_family                 0.0110667341 -0.0129585653
## relationship_other_relative               -0.1140597276  0.0901996018
## relationship_own_child                     0.0038349674 -0.0015803147
## relationship_unmarried                     0.0371649166  0.0020248725
## relationship_wife                          0.0248655951 -0.0615706855
## race_amer_indian_eskimo                   -0.0346811969 -0.2100029577
## race_asian_pac_islander                    0.0019453617  0.0204493504
## race_black                                 0.0542001953  0.0126428580
## race_other                                -0.0487977921  0.0161378197
## race_white                                -0.0242994773  0.0345407700
## sex_female                                -0.0015319024 -0.0001882779
## sex_male                                   0.0015319024  0.0001882779
## native_country_cambodia                    0.0753470797  0.0853241938
## native_country_canada                     -0.0069617446 -0.0248580024
## native_country_china                      -0.0001717321  0.0645063566
## native_country_columbia                   -0.0780166332  0.0201948791
## native_country_cuba                       -0.0630623337  0.0143661275
## native_country_dominican_republic          0.0511679954  0.0284393537
## native_country_ecuador                    -0.0817377918  0.0232422790
## native_country_el_salvador                -0.1794083170 -0.0444754573
## native_country_england                     0.0045276430 -0.0479978208
## native_country_france                     -0.0809077047 -0.0313258509
## native_country_germany                    -0.0100386055 -0.0849280460
## native_country_greece                     -0.0820158796  0.0520596719
## native_country_guatemala                  -0.0200352275 -0.0856037139
## native_country_haiti                      -0.0584711025  0.0074068759
## native_country_holand_netherlands         -0.0401716089  0.1640066604
## native_country_honduras                    0.0357128576 -0.0165691768
## native_country_hong                        0.0151486329  0.1170363255
## native_country_hungary                     0.0046013567 -0.0255850189
## native_country_india                      -0.0622524446 -0.0197056238
## native_country_iran                        0.0054431908  0.0716981604
## native_country_ireland                     0.0768477968 -0.0206685480
## native_country_italy                       0.0233221391  0.0244503800
## native_country_jamaica                    -0.0332557054 -0.1008834546
## native_country_japan                       0.0597735507 -0.0638998657
## native_country_laos                        0.0215025642  0.1195021753
## native_country_mexico                      0.0633855364  0.0140342924
## native_country_nicaragua                  -0.0574161198  0.1211872213
## native_country_outlying_us(guam_usvi_etc)  0.0532177495 -0.0746573486
## native_country_peru                       -0.0033061672  0.0465254788
## native_country_philippines                -0.0278590781 -0.0967770127
## native_country_poland                      0.0826637890 -0.0662589720
## native_country_portugal                    0.2218899167  0.0618158708
## native_country_puerto_rico                 0.0102042393 -0.0152712708
## native_country_scotland                   -0.0271149646  0.0054214186
## native_country_south                       0.0377632389  0.0491460080
## native_country_taiwan                      0.0249062062  0.0094932636
## native_country_thailand                   -0.0880120827 -0.0187541386
## native_country_trinadad&tobago            -0.0220702251  0.1064473031
## native_country_united_states               0.0117191928  0.0137219461
## native_country_vietnam                     0.0389415908  0.0209596703
## native_country_yugoslavia                 -0.0299094244 -0.0123576810
##                                                   PC25         PC26
## l_capital_gain                             0.249722305  0.047641361
## l_capital_loss                            -0.295410258 -0.067083479
## age                                        0.078439023  0.021795779
## fnlwgt                                    -0.030463958  0.046960204
## education_num                              0.071637581 -0.007874628
## hours_per_week                            -0.103436915 -0.073485515
## workclass_federal_gov                     -0.087567863  0.061282986
## workclass_local_gov                        0.035611237 -0.018020461
## workclass_private                          0.057121228 -0.008261551
## workclass_self_emp_inc                    -0.089320669  0.108697829
## workclass_self_emp_not_inc                -0.012918865 -0.110559394
## workclass_state_gov                       -0.003850038  0.033860709
## workclass_without_pay                      0.098801579  0.045784519
## education_1st_4th                         -0.116245437  0.201205346
## education_5th_6th                          0.108290089 -0.112537647
## education_7th_8th                          0.034568360 -0.078386613
## education_9th                             -0.260442821 -0.083900005
## education_10th                            -0.182540847 -0.028864928
## education_11th                            -0.125605340  0.089168598
## education_12th                             0.010082141  0.100647032
## education_assoc_acdm                      -0.218959200  0.304863976
## education_assoc_voc                        0.044124066  0.014624858
## education_bachelors                        0.042439516 -0.065191060
## education_doctorate                       -0.149877578  0.048330511
## education_hs_grad                          0.093299161  0.015569556
## education_masters                          0.074733173  0.058249023
## education_preschool                        0.134464704  0.308132430
## education_prof_school                      0.030925553 -0.080308950
## education_some_college                     0.088779355 -0.160821520
## marital_status_divorced                   -0.167120755  0.046895399
## marital_status_married_af_spouse          -0.137310167 -0.030391022
## marital_status_married_civ_spouse         -0.021076299  0.010759227
## marital_status_married_spouse_absent       0.074414987  0.327675119
## marital_status_never_married               0.026920192 -0.041111677
## marital_status_separated                   0.059506327 -0.248648171
## marital_status_widowed                     0.247013208  0.034272740
## occupation_adm_clerical                    0.035340480  0.049383460
## occupation_armed_forces                   -0.092253512  0.036302074
## occupation_craft_repair                   -0.032159046  0.076728237
## occupation_exec_managerial                 0.054250516 -0.047637972
## occupation_farming_fishing                 0.085527239 -0.046386808
## occupation_handlers_cleaners              -0.067883019 -0.048714238
## occupation_machine_op_inspct               0.125724574 -0.144170733
## occupation_other_service                   0.110673090  0.036433916
## occupation_priv_house_serv                -0.180418067 -0.095489827
## occupation_prof_specialty                 -0.016106647 -0.043588922
## occupation_protective_serv                 0.031253174 -0.013785652
## occupation_sales                          -0.092364286  0.174240244
## occupation_tech_support                    0.020344276 -0.026877291
## occupation_transport_moving               -0.197574002 -0.054993720
## relationship_husband                       0.038791200  0.022641239
## relationship_not_in_family                -0.057372272 -0.003967683
## relationship_other_relative                0.054443719 -0.195904403
## relationship_own_child                     0.036507698  0.057729936
## relationship_unmarried                     0.060658807  0.022268238
## relationship_wife                         -0.165747292 -0.015945349
## race_amer_indian_eskimo                   -0.084858789  0.014112205
## race_asian_pac_islander                   -0.010886988  0.002646714
## race_black                                -0.003474300 -0.018267554
## race_other                                 0.045707360  0.033228412
## race_white                                 0.020457339  0.001654604
## sex_female                                -0.024779219 -0.002475794
## sex_male                                   0.024779219  0.002475794
## native_country_cambodia                    0.050366211  0.033788953
## native_country_canada                     -0.100121519 -0.097144905
## native_country_china                      -0.015001409  0.086530477
## native_country_columbia                   -0.034778789 -0.053153499
## native_country_cuba                       -0.056341500 -0.065487197
## native_country_dominican_republic          0.003769740  0.228567699
## native_country_ecuador                     0.153465146 -0.121981949
## native_country_el_salvador                -0.045584010  0.065944223
## native_country_england                    -0.066754369 -0.069848311
## native_country_france                     -0.042250094  0.032860540
## native_country_germany                     0.017025715 -0.024469316
## native_country_greece                      0.023364145 -0.075162054
## native_country_guatemala                  -0.237604567 -0.118680472
## native_country_haiti                       0.058148826  0.156238956
## native_country_holand_netherlands         -0.021910909 -0.163807635
## native_country_honduras                   -0.059276665 -0.062319964
## native_country_hong                       -0.100898479  0.029612264
## native_country_hungary                     0.028285420 -0.023109093
## native_country_india                       0.034659298  0.158552758
## native_country_iran                       -0.023138057  0.004298448
## native_country_ireland                     0.020015310 -0.041881450
## native_country_italy                       0.115185039 -0.043974657
## native_country_jamaica                     0.008253370  0.017000030
## native_country_japan                       0.034862474 -0.048791579
## native_country_laos                        0.094357006  0.060689678
## native_country_mexico                      0.076155532  0.080389256
## native_country_nicaragua                   0.040283114 -0.141442380
## native_country_outlying_us(guam_usvi_etc) -0.052443773 -0.114610439
## native_country_peru                        0.056855534 -0.018787367
## native_country_philippines                 0.075505580 -0.127379237
## native_country_poland                      0.075195791  0.110385612
## native_country_portugal                   -0.158047715  0.011658530
## native_country_puerto_rico                 0.016484857 -0.046941349
## native_country_scotland                    0.067379655 -0.101648314
## native_country_south                      -0.081683007 -0.054359285
## native_country_taiwan                     -0.109722602  0.040814740
## native_country_thailand                   -0.058673699  0.097304543
## native_country_trinadad&tobago            -0.065072072 -0.114048304
## native_country_united_states               0.013711163  0.036272655
## native_country_vietnam                    -0.034281646 -0.077866304
## native_country_yugoslavia                  0.032754915 -0.061383370
##                                                   PC27          PC28
## l_capital_gain                             0.041802833 -0.0331230153
## l_capital_loss                            -0.052384075  0.1373478090
## age                                       -0.024323346 -0.0418070953
## fnlwgt                                     0.302400834 -0.0856716505
## education_num                             -0.007446748 -0.0239131119
## hours_per_week                             0.023468473  0.0490515901
## workclass_federal_gov                     -0.061754467  0.0015542964
## workclass_local_gov                        0.005147618 -0.0045121136
## workclass_private                          0.002080300 -0.0185873535
## workclass_self_emp_inc                    -0.039859425  0.0786052820
## workclass_self_emp_not_inc                 0.067856954 -0.0454199697
## workclass_state_gov                       -0.019861288  0.0229393608
## workclass_without_pay                      0.054757901  0.1057005579
## education_1st_4th                          0.037996179 -0.1624133287
## education_5th_6th                         -0.108157819 -0.1391692741
## education_7th_8th                          0.049917643  0.0700400351
## education_9th                              0.060018038  0.1466985380
## education_10th                             0.047989626 -0.0719962770
## education_11th                            -0.027378050  0.1684575866
## education_12th                             0.081707584 -0.2783798901
## education_assoc_acdm                       0.136572944 -0.0416384651
## education_assoc_voc                       -0.133999762 -0.0340772611
## education_bachelors                       -0.014061005  0.0234417330
## education_doctorate                       -0.170599110 -0.0733011034
## education_hs_grad                         -0.023123293 -0.0150718530
## education_masters                          0.049524306 -0.0786854799
## education_preschool                       -0.021236974  0.2708289812
## education_prof_school                      0.121853986  0.1335826869
## education_some_college                    -0.016228399  0.0486466148
## marital_status_divorced                   -0.002225400 -0.0265970552
## marital_status_married_af_spouse           0.003187282  0.0379789847
## marital_status_married_civ_spouse         -0.006137788 -0.0129039682
## marital_status_married_spouse_absent      -0.043474530  0.2566460667
## marital_status_never_married               0.001250535 -0.0204515438
## marital_status_separated                   0.107419447  0.1088381054
## marital_status_widowed                    -0.064832875 -0.1382848339
## occupation_adm_clerical                    0.097373513 -0.0117718955
## occupation_armed_forces                   -0.130560512 -0.0328010833
## occupation_craft_repair                    0.074572544 -0.0664431239
## occupation_exec_managerial                 0.118936677  0.0662448047
## occupation_farming_fishing                 0.047898744  0.0555338749
## occupation_handlers_cleaners              -0.156682975  0.0624238663
## occupation_machine_op_inspct              -0.104053697  0.1808113286
## occupation_other_service                   0.050591595 -0.0729484034
## occupation_priv_house_serv                 0.100180042  0.1016241816
## occupation_prof_specialty                 -0.028259521 -0.0055051620
## occupation_protective_serv                -0.038092863  0.0800672317
## occupation_sales                          -0.244703172 -0.1022599596
## occupation_tech_support                   -0.027671307 -0.0143621997
## occupation_transport_moving                0.141347348 -0.0995213052
## relationship_husband                      -0.001022931 -0.0214097361
## relationship_not_in_family                -0.005059166 -0.0384994319
## relationship_other_relative               -0.101145886  0.0811706116
## relationship_own_child                     0.039557871 -0.0095707833
## relationship_unmarried                     0.021379812  0.0422062222
## relationship_wife                         -0.003050966  0.0190071394
## race_amer_indian_eskimo                   -0.527802602 -0.0941720666
## race_asian_pac_islander                    0.094018710 -0.0037882030
## race_black                                 0.014796794 -0.0172057516
## race_other                                 0.115058981 -0.0862981238
## race_white                                 0.061592930  0.0646912100
## sex_female                                 0.001829238 -0.0026041874
## sex_male                                  -0.001829238  0.0026041874
## native_country_cambodia                   -0.003174554  0.0395605253
## native_country_canada                     -0.179231301  0.0001865235
## native_country_china                      -0.004694511  0.0285273457
## native_country_columbia                    0.045966116  0.0687835178
## native_country_cuba                        0.087431438 -0.0993606836
## native_country_dominican_republic          0.073367762 -0.0218511411
## native_country_ecuador                     0.022528758 -0.0813991368
## native_country_el_salvador                 0.044245533  0.0681404420
## native_country_england                    -0.053961571 -0.0617246569
## native_country_france                     -0.001758043  0.0320417149
## native_country_germany                    -0.143066555  0.0148289507
## native_country_greece                     -0.093645765  0.0313289688
## native_country_guatemala                   0.124644157  0.1371446606
## native_country_haiti                      -0.079555954  0.2136443238
## native_country_holand_netherlands         -0.116786863  0.1521276715
## native_country_honduras                   -0.054497068  0.1185723681
## native_country_hong                       -0.024882594  0.0516051055
## native_country_hungary                     0.040490551 -0.0055923311
## native_country_india                       0.089118968  0.1324755752
## native_country_iran                        0.005279827 -0.1339390894
## native_country_ireland                    -0.109232575  0.1283753618
## native_country_italy                      -0.128533256 -0.2517124130
## native_country_jamaica                    -0.042523113 -0.0089752118
## native_country_japan                       0.120882438 -0.0870225176
## native_country_laos                       -0.009181790  0.1479301893
## native_country_mexico                     -0.079660123 -0.1587986411
## native_country_nicaragua                   0.065615283  0.0370403202
## native_country_outlying_us(guam_usvi_etc) -0.032890818 -0.0008101843
## native_country_peru                        0.049926140  0.0681099574
## native_country_philippines                 0.085492756  0.0874748713
## native_country_poland                     -0.156177631  0.2184324549
## native_country_portugal                   -0.042948023  0.0100945147
## native_country_puerto_rico                 0.085070171  0.1088740253
## native_country_scotland                   -0.046181496  0.0352249318
## native_country_south                      -0.076056658 -0.1278771423
## native_country_taiwan                     -0.014625402 -0.1258370257
## native_country_thailand                    0.108563206 -0.0502648762
## native_country_trinadad&tobago            -0.015560149 -0.0454523590
## native_country_united_states               0.057080696 -0.0001087899
## native_country_vietnam                     0.049594659 -0.1075263734
## native_country_yugoslavia                  0.074343018  0.0044075268
##                                                   PC29         PC30
## l_capital_gain                            -0.101659435 -0.141687480
## l_capital_loss                             0.074541193  0.165037730
## age                                       -0.037383158 -0.005827813
## fnlwgt                                    -0.085011290  0.001763145
## education_num                              0.050922342  0.004857947
## hours_per_week                             0.054373023  0.018397632
## workclass_federal_gov                      0.051167673 -0.058111953
## workclass_local_gov                        0.038770080 -0.024525778
## workclass_private                          0.036623676 -0.017328689
## workclass_self_emp_inc                    -0.129267682  0.087172423
## workclass_self_emp_not_inc                 0.037963074 -0.016082526
## workclass_state_gov                       -0.099369509  0.056144436
## workclass_without_pay                     -0.044749391  0.030537299
## education_1st_4th                          0.255082249  0.058860332
## education_5th_6th                         -0.213872146  0.069396561
## education_7th_8th                         -0.109907086  0.035498730
## education_9th                              0.016283764 -0.270005806
## education_10th                             0.006731282  0.314272577
## education_11th                            -0.319769094 -0.132228022
## education_12th                             0.267314457  0.103571194
## education_assoc_acdm                      -0.272473742  0.081082390
## education_assoc_voc                       -0.021197148  0.036677537
## education_bachelors                        0.111640993 -0.023526065
## education_doctorate                       -0.035861484 -0.086436013
## education_hs_grad                          0.027792843 -0.039938678
## education_masters                         -0.037421523 -0.040995274
## education_preschool                        0.138415075 -0.308674766
## education_prof_school                      0.045337895  0.101039441
## education_some_college                     0.106305003  0.005837164
## marital_status_divorced                    0.072937770 -0.089539915
## marital_status_married_af_spouse          -0.025177868  0.096910096
## marital_status_married_civ_spouse         -0.002107162 -0.005392794
## marital_status_married_spouse_absent       0.034035618  0.344750701
## marital_status_never_married              -0.009066482 -0.021646841
## marital_status_separated                  -0.073414008  0.057722562
## marital_status_widowed                    -0.061967173 -0.040196059
## occupation_adm_clerical                   -0.042366119 -0.011272159
## occupation_armed_forces                    0.158170844 -0.055339249
## occupation_craft_repair                   -0.051820482  0.015717875
## occupation_exec_managerial                -0.005738636  0.033790617
## occupation_farming_fishing                 0.047044164 -0.053731611
## occupation_handlers_cleaners              -0.137265625  0.063317748
## occupation_machine_op_inspct               0.061650620  0.011074140
## occupation_other_service                   0.115064485  0.044227666
## occupation_priv_house_serv                 0.093170792 -0.103102773
## occupation_prof_specialty                  0.064630195 -0.016113939
## occupation_protective_serv                -0.019109781  0.009395537
## occupation_sales                          -0.088913904 -0.083317136
## occupation_tech_support                   -0.046459875  0.017280628
## occupation_transport_moving                0.050863789  0.015401380
## relationship_husband                       0.027761664 -0.024679575
## relationship_not_in_family                -0.143927687  0.036733552
## relationship_other_relative                0.096129888  0.087918015
## relationship_own_child                     0.048177284 -0.037832276
## relationship_unmarried                     0.112307498 -0.051966061
## relationship_wife                         -0.088470903  0.049874511
## race_amer_indian_eskimo                    0.022733225 -0.064055514
## race_asian_pac_islander                   -0.012001150 -0.003115503
## race_black                                -0.009761794  0.027781542
## race_other                                -0.100434954 -0.088460882
## race_white                                 0.033080829  0.018662526
## sex_female                                -0.004931061  0.009058215
## sex_male                                   0.004931061 -0.009058215
## native_country_cambodia                    0.170851468 -0.071956116
## native_country_canada                      0.009437255 -0.079852306
## native_country_china                       0.062804324  0.007946387
## native_country_columbia                    0.070193960  0.092543825
## native_country_cuba                        0.046888528  0.069569431
## native_country_dominican_republic          0.212151927  0.077929153
## native_country_ecuador                     0.008103927  0.060451672
## native_country_el_salvador                 0.145947385 -0.199371192
## native_country_england                     0.049218385 -0.113542794
## native_country_france                      0.014119456 -0.045618643
## native_country_germany                     0.013019145 -0.049913766
## native_country_greece                     -0.065816204  0.098567970
## native_country_guatemala                   0.061266659  0.034205229
## native_country_haiti                       0.203008079 -0.057001207
## native_country_holand_netherlands          0.120688052  0.103925923
## native_country_honduras                   -0.085143828  0.190903138
## native_country_hong                       -0.114588014 -0.136673871
## native_country_hungary                    -0.010496691  0.033571397
## native_country_india                      -0.181463496  0.080128033
## native_country_iran                       -0.030984654 -0.135763612
## native_country_ireland                    -0.018704520  0.031995708
## native_country_italy                      -0.055365385  0.210440021
## native_country_jamaica                    -0.067420082  0.114994019
## native_country_japan                      -0.028013623 -0.038491475
## native_country_laos                       -0.079834770  0.002450578
## native_country_mexico                     -0.073698599 -0.013015337
## native_country_nicaragua                   0.013820383 -0.150611534
## native_country_outlying_us(guam_usvi_etc) -0.006101739 -0.067155107
## native_country_peru                       -0.024561796  0.076146643
## native_country_philippines                 0.045338168  0.033361148
## native_country_poland                     -0.006094248  0.206756587
## native_country_portugal                    0.107305243  0.018481604
## native_country_puerto_rico                -0.236963096 -0.195015165
## native_country_scotland                   -0.005028644 -0.004346283
## native_country_south                       0.035119739 -0.023123727
## native_country_taiwan                     -0.092321433 -0.087614288
## native_country_thailand                    0.074374669  0.103204614
## native_country_trinadad&tobago            -0.047175987 -0.051656478
## native_country_united_states              -0.005230070  0.017289680
## native_country_vietnam                     0.047454323  0.025527205
## native_country_yugoslavia                 -0.016947686 -0.052345600
##                                                   PC31           PC32
## l_capital_gain                             0.042442152  0.17293685414
## l_capital_loss                            -0.128651391 -0.37111388880
## age                                        0.020513092 -0.02866881402
## fnlwgt                                    -0.059379844  0.01128363048
## education_num                              0.044709741 -0.01610462324
## hours_per_week                            -0.030943784 -0.02774925612
## workclass_federal_gov                      0.020857940  0.11711160717
## workclass_local_gov                       -0.045856111 -0.03455650192
## workclass_private                          0.016083521 -0.04975771548
## workclass_self_emp_inc                    -0.096571908 -0.11721015781
## workclass_self_emp_not_inc                 0.039257458  0.08523127348
## workclass_state_gov                        0.027892888  0.04507286589
## workclass_without_pay                      0.112397085 -0.02345516032
## education_1st_4th                          0.235159771 -0.28673034459
## education_5th_6th                         -0.102571236  0.10295181907
## education_7th_8th                         -0.119143715  0.04636561254
## education_9th                              0.226650483  0.07819957635
## education_10th                            -0.123712258  0.12527114001
## education_11th                            -0.118441263 -0.02303783542
## education_12th                            -0.232545643  0.19524843392
## education_assoc_acdm                       0.231300338  0.14096132625
## education_assoc_voc                       -0.230063007 -0.17197553111
## education_bachelors                       -0.072279181  0.01807151207
## education_doctorate                       -0.048486559  0.04518005923
## education_hs_grad                          0.091810273 -0.06422602820
## education_masters                          0.036697625  0.04631304577
## education_preschool                       -0.190360474 -0.05197528800
## education_prof_school                      0.054377126 -0.13734672909
## education_some_college                     0.089317796 -0.01510108736
## marital_status_divorced                   -0.041774827  0.10448668690
## marital_status_married_af_spouse           0.049367150  0.08829615121
## marital_status_married_civ_spouse          0.011540065  0.00400319930
## marital_status_married_spouse_absent       0.016624792  0.11563948723
## marital_status_never_married              -0.028207053 -0.04490289349
## marital_status_separated                   0.086675734  0.00291312590
## marital_status_widowed                     0.022254486 -0.19757246282
## occupation_adm_clerical                   -0.152410324 -0.11500638220
## occupation_armed_forces                    0.049445652  0.25463421784
## occupation_craft_repair                   -0.137854874 -0.01899440268
## occupation_exec_managerial                -0.038753978 -0.02535121372
## occupation_farming_fishing                 0.019253820 -0.04825338977
## occupation_handlers_cleaners               0.138576152 -0.06895256548
## occupation_machine_op_inspct               0.032902347  0.22360656409
## occupation_other_service                   0.186446819 -0.04020542968
## occupation_priv_house_serv                -0.112609172  0.11937322720
## occupation_prof_specialty                 -0.016716692 -0.01429068023
## occupation_protective_serv                 0.063014801  0.04094993549
## occupation_sales                           0.080351609  0.12215687820
## occupation_tech_support                    0.170216320 -0.07575654001
## occupation_transport_moving               -0.181380183 -0.03567934167
## relationship_husband                       0.010920970 -0.01548158471
## relationship_not_in_family                 0.029452349  0.00778252028
## relationship_other_relative                0.046193153  0.01481653781
## relationship_own_child                    -0.053011410 -0.01613779584
## relationship_unmarried                    -0.027442828 -0.01238101969
## relationship_wife                          0.005028474  0.05337704167
## race_amer_indian_eskimo                    0.021754782 -0.02699158543
## race_asian_pac_islander                   -0.007690071  0.01303438056
## race_black                                -0.010124237 -0.00788439149
## race_other                                -0.016005589 -0.06182328195
## race_white                                 0.010149788  0.02362272609
## sex_female                                -0.022484349 -0.00273494809
## sex_male                                   0.022484349  0.00273494809
## native_country_cambodia                   -0.133673660 -0.01031037110
## native_country_canada                     -0.126407968 -0.07846499845
## native_country_china                       0.003059600  0.09936572315
## native_country_columbia                    0.057897682  0.05645642733
## native_country_cuba                       -0.033317143 -0.04335628239
## native_country_dominican_republic         -0.010654977 -0.02565815890
## native_country_ecuador                    -0.063111899  0.08152773912
## native_country_el_salvador                 0.091633947  0.04702277263
## native_country_england                     0.026076733  0.03700697368
## native_country_france                      0.040404875  0.09935799307
## native_country_germany                    -0.101582962  0.03182361917
## native_country_greece                     -0.151652340 -0.14284716990
## native_country_guatemala                  -0.137300593  0.19538827198
## native_country_haiti                      -0.086491437  0.00279550540
## native_country_holand_netherlands         -0.002932918 -0.09102388308
## native_country_honduras                   -0.047467291  0.03250389547
## native_country_hong                       -0.126707597 -0.05582539756
## native_country_hungary                    -0.012666810 -0.01122073318
## native_country_india                       0.043490734 -0.06444401487
## native_country_iran                        0.071821431  0.09267477967
## native_country_ireland                     0.033196802  0.00346169383
## native_country_italy                      -0.093344392  0.11103446042
## native_country_jamaica                     0.032887584 -0.01342648268
## native_country_japan                       0.034305146  0.01121776291
## native_country_laos                       -0.245229783  0.17722891877
## native_country_mexico                      0.033893956 -0.11816713551
## native_country_nicaragua                  -0.101314610 -0.01731556402
## native_country_outlying_us(guam_usvi_etc)  0.131824831 -0.02139607791
## native_country_peru                        0.119623411  0.10514692027
## native_country_philippines                 0.105284848 -0.05123338019
## native_country_poland                      0.087924340  0.11886074564
## native_country_portugal                    0.223383116 -0.11444342808
## native_country_puerto_rico                -0.022053573 -0.16941643226
## native_country_scotland                    0.117896791  0.07902387779
## native_country_south                      -0.028570850  0.05627259096
## native_country_taiwan                     -0.070371194  0.00427637967
## native_country_thailand                    0.014949577 -0.08202934426
## native_country_trinadad&tobago             0.095671561  0.01937017382
## native_country_united_states               0.002750419 -0.00007998735
## native_country_vietnam                     0.025120168 -0.00663325874
## native_country_yugoslavia                  0.021290456  0.15534435569
##                                                    PC33         PC34
## l_capital_gain                             0.0645630917 -0.108072571
## l_capital_loss                            -0.0909878142  0.174064689
## age                                       -0.0644504047 -0.015684864
## fnlwgt                                     0.0641455163 -0.173146622
## education_num                             -0.0059158185  0.028804104
## hours_per_week                             0.0918324996  0.002312850
## workclass_federal_gov                      0.1101254345 -0.038492597
## workclass_local_gov                        0.0359304832  0.014682695
## workclass_private                          0.0109266317  0.032362318
## workclass_self_emp_inc                    -0.0455177646 -0.021279163
## workclass_self_emp_not_inc                -0.0074572589  0.000923784
## workclass_state_gov                       -0.1018570057 -0.043064946
## workclass_without_pay                     -0.0809585776  0.054894473
## education_1st_4th                          0.1972945012  0.054958980
## education_5th_6th                         -0.0619127178  0.175983892
## education_7th_8th                         -0.0543181750 -0.068755051
## education_9th                             -0.2434243233 -0.116827462
## education_10th                             0.1841107961 -0.114452658
## education_11th                            -0.0015177827  0.030559206
## education_12th                            -0.2806715336 -0.029423538
## education_assoc_acdm                      -0.1862647779  0.203905511
## education_assoc_voc                        0.1128732709 -0.199859932
## education_bachelors                       -0.0843546944  0.028016943
## education_doctorate                       -0.0153440315  0.003032298
## education_hs_grad                          0.0513608973  0.008666524
## education_masters                          0.1459309656 -0.136450759
## education_preschool                        0.0176279457 -0.050543283
## education_prof_school                     -0.0587067031  0.125050030
## education_some_college                     0.0583283687  0.059129570
## marital_status_divorced                   -0.2458552589 -0.037836788
## marital_status_married_af_spouse           0.0372397518 -0.151771867
## marital_status_married_civ_spouse         -0.0038683714  0.005447693
## marital_status_married_spouse_absent       0.0320363574 -0.018552917
## marital_status_never_married               0.0388927072  0.030794378
## marital_status_separated                   0.3736569885 -0.020945321
## marital_status_widowed                    -0.0036923705  0.034400962
## occupation_adm_clerical                   -0.0474030053  0.009183595
## occupation_armed_forces                    0.2067482031 -0.104186606
## occupation_craft_repair                   -0.0623505664  0.070661232
## occupation_exec_managerial                -0.0200717276  0.046912627
## occupation_farming_fishing                 0.0399551939 -0.007226645
## occupation_handlers_cleaners              -0.2287561275 -0.269746595
## occupation_machine_op_inspct               0.0493326668  0.179185761
## occupation_other_service                  -0.0125846837  0.079603741
## occupation_priv_house_serv                 0.0691222041  0.181678714
## occupation_prof_specialty                 -0.0007396649  0.028561749
## occupation_protective_serv                 0.0122189972  0.016667990
## occupation_sales                           0.0765358077 -0.125024484
## occupation_tech_support                    0.0568818949 -0.121571691
## occupation_transport_moving                0.1395598473 -0.072492399
## relationship_husband                       0.0037430418  0.046263416
## relationship_not_in_family                 0.0557174331 -0.012054969
## relationship_other_relative               -0.2292986127 -0.262552407
## relationship_own_child                     0.0154770921  0.088473977
## relationship_unmarried                     0.0146298493  0.044133629
## relationship_wife                          0.0132811965 -0.084275514
## race_amer_indian_eskimo                    0.1208867813  0.218982575
## race_asian_pac_islander                    0.0110563947 -0.021111219
## race_black                                -0.0261318499 -0.002594242
## race_other                                -0.0544080153  0.009239494
## race_white                                -0.0036134937 -0.051628482
## sex_female                                 0.0156546776 -0.007762281
## sex_male                                  -0.0156546776  0.007762281
## native_country_cambodia                    0.0099287847 -0.120294990
## native_country_canada                      0.0340704015 -0.036057063
## native_country_china                       0.0611456491 -0.103039467
## native_country_columbia                   -0.0026216006  0.045218626
## native_country_cuba                        0.0161860817 -0.104469263
## native_country_dominican_republic         -0.0391318946 -0.016402531
## native_country_ecuador                    -0.1326340848 -0.135551547
## native_country_el_salvador                 0.0089605871  0.061213968
## native_country_england                     0.0280891693  0.158639110
## native_country_france                      0.0267475279  0.086312914
## native_country_germany                     0.0339244619 -0.053562905
## native_country_greece                      0.0490696037 -0.095204913
## native_country_guatemala                   0.1036646857  0.092162209
## native_country_haiti                      -0.1647667400 -0.052346347
## native_country_holand_netherlands         -0.1355375950  0.044099696
## native_country_honduras                    0.0139352418  0.055893656
## native_country_hong                        0.0154135425 -0.039550290
## native_country_hungary                    -0.0239443567  0.020671016
## native_country_india                       0.0128374694 -0.051801745
## native_country_iran                        0.0204660009  0.090952864
## native_country_ireland                    -0.0368437679  0.021021282
## native_country_italy                      -0.1369120588  0.160708649
## native_country_jamaica                    -0.0309222408 -0.011779563
## native_country_japan                       0.0856913849  0.014558996
## native_country_laos                        0.0607071532  0.203372661
## native_country_mexico                      0.0160245349  0.007431491
## native_country_nicaragua                  -0.0392741168 -0.179698838
## native_country_outlying_us(guam_usvi_etc) -0.1556343234 -0.085634681
## native_country_peru                        0.1218828721 -0.165540295
## native_country_philippines                -0.0911642592  0.092843048
## native_country_poland                      0.0640068430 -0.114030643
## native_country_portugal                    0.0978675468 -0.052965863
## native_country_puerto_rico                 0.0629635288  0.055920695
## native_country_scotland                    0.0326785640  0.108029213
## native_country_south                       0.0018894234 -0.104098963
## native_country_taiwan                      0.0589115926 -0.055775823
## native_country_thailand                    0.0017175200  0.123246928
## native_country_trinadad&tobago            -0.1570702986  0.008341426
## native_country_united_states              -0.0166455773  0.008774162
## native_country_vietnam                    -0.0104418865 -0.021513570
## native_country_yugoslavia                 -0.0165482665  0.153014990
##                                                    PC35         PC36
## l_capital_gain                            -0.0607443747 -0.079687739
## l_capital_loss                             0.0616455831 -0.019135852
## age                                       -0.0006742182 -0.008436397
## fnlwgt                                     0.0159399688 -0.096492955
## education_num                             -0.0056934286  0.004395033
## hours_per_week                            -0.0185015652  0.023026264
## workclass_federal_gov                      0.0585739818 -0.029173015
## workclass_local_gov                       -0.0545245505  0.025370831
## workclass_private                         -0.0211129836 -0.003649344
## workclass_self_emp_inc                     0.0035642638  0.039616433
## workclass_self_emp_not_inc                 0.0103168270 -0.037828403
## workclass_state_gov                        0.0499139466  0.017005025
## workclass_without_pay                     -0.0345935838 -0.005581912
## education_1st_4th                          0.0229895650 -0.153296758
## education_5th_6th                          0.0904095367  0.055206657
## education_7th_8th                          0.0539175303 -0.126971783
## education_9th                              0.1265586105  0.411185140
## education_10th                            -0.5063149872  0.174634335
## education_11th                             0.1696996047 -0.321422351
## education_12th                             0.1842831958  0.065684008
## education_assoc_acdm                      -0.2709862609 -0.020067670
## education_assoc_voc                        0.1533591284  0.078674074
## education_bachelors                       -0.0151961299  0.040884257
## education_doctorate                       -0.0736669760 -0.074120348
## education_hs_grad                          0.0328181345 -0.027106549
## education_masters                          0.0913528215  0.103821998
## education_preschool                       -0.1671410068  0.004605328
## education_prof_school                     -0.0130480730 -0.079588045
## education_some_college                    -0.0001296617 -0.058342256
## marital_status_divorced                    0.0177857035 -0.217133984
## marital_status_married_af_spouse          -0.0168764829 -0.193962288
## marital_status_married_civ_spouse          0.0074805255 -0.012509173
## marital_status_married_spouse_absent       0.0834105582  0.116733016
## marital_status_never_married              -0.0204027241  0.054882664
## marital_status_separated                   0.0417063663  0.183144211
## marital_status_widowed                    -0.0984645024  0.098095186
## occupation_adm_clerical                   -0.0803613042  0.156581605
## occupation_armed_forces                    0.1593332311 -0.091992955
## occupation_craft_repair                   -0.0178062991  0.036256517
## occupation_exec_managerial                -0.0214445389 -0.028748089
## occupation_farming_fishing                -0.0255435064  0.019395642
## occupation_handlers_cleaners              -0.0819377320 -0.069254737
## occupation_machine_op_inspct               0.0155614721 -0.035756685
## occupation_other_service                   0.0537709589 -0.148458239
## occupation_priv_house_serv                 0.0402942774  0.008171297
## occupation_prof_specialty                 -0.0110350769  0.002148603
## occupation_protective_serv                -0.0103948413 -0.083301947
## occupation_sales                           0.0473129828  0.043057962
## occupation_tech_support                    0.0980540102 -0.065375920
## occupation_transport_moving                0.0359750856  0.097483125
## relationship_husband                       0.0034297167  0.013429305
## relationship_not_in_family                 0.0399982032 -0.034814801
## relationship_other_relative               -0.1489746086 -0.088770857
## relationship_own_child                     0.0199113923  0.049335615
## relationship_unmarried                    -0.0177362428  0.070653406
## relationship_wife                          0.0216823450 -0.073560257
## race_amer_indian_eskimo                   -0.1559669965  0.062566749
## race_asian_pac_islander                    0.0160815582  0.003602875
## race_black                                 0.0486493174 -0.032643269
## race_other                                -0.0510446557 -0.007880276
## race_white                                 0.0082553373  0.010058096
## sex_female                                 0.0085097636  0.009894984
## sex_male                                  -0.0085097636 -0.009894984
## native_country_cambodia                   -0.0534435382 -0.116100532
## native_country_canada                      0.0709432017 -0.004342383
## native_country_china                       0.1057438150 -0.027870024
## native_country_columbia                   -0.0421762515  0.256546667
## native_country_cuba                        0.1407281461  0.055213812
## native_country_dominican_republic          0.1194781707 -0.075222324
## native_country_ecuador                    -0.2066222657  0.033390588
## native_country_el_salvador                -0.0306280415  0.117249438
## native_country_england                    -0.1141967862 -0.114255360
## native_country_france                     -0.0383567262 -0.045452354
## native_country_germany                    -0.1275824071 -0.024248286
## native_country_greece                     -0.0640664285  0.020677096
## native_country_guatemala                   0.0254778095 -0.113039861
## native_country_haiti                      -0.1152704250 -0.026061725
## native_country_holand_netherlands         -0.0751900014 -0.087764907
## native_country_honduras                    0.0486559720 -0.115492014
## native_country_hong                       -0.1011790017  0.063080885
## native_country_hungary                    -0.0086304305 -0.003873397
## native_country_india                      -0.0065374329  0.160499571
## native_country_iran                       -0.1601969554 -0.007939743
## native_country_ireland                     0.0518521024  0.042413212
## native_country_italy                       0.1044515827 -0.011323528
## native_country_jamaica                     0.0195279927 -0.060679116
## native_country_japan                       0.0040188269 -0.070728056
## native_country_laos                        0.0187151184  0.106456889
## native_country_mexico                      0.0152284955  0.019319200
## native_country_nicaragua                  -0.1597307460 -0.112641668
## native_country_outlying_us(guam_usvi_etc)  0.0084789174  0.131649790
## native_country_peru                       -0.0926962139 -0.162472220
## native_country_philippines                 0.0187193355 -0.060277910
## native_country_poland                      0.1508887905  0.092913442
## native_country_portugal                   -0.1100918391  0.065071524
## native_country_puerto_rico                 0.0958316766 -0.048488525
## native_country_scotland                    0.0225395555 -0.074464731
## native_country_south                       0.0942289280  0.020251466
## native_country_taiwan                     -0.0251379195  0.026219382
## native_country_thailand                    0.0049710840 -0.024168934
## native_country_trinadad&tobago             0.2118498029  0.192315333
## native_country_united_states               0.0119498215 -0.001094487
## native_country_vietnam                    -0.1180236193 -0.094289337
## native_country_yugoslavia                 -0.0916383425  0.019491526
##                                                    PC37          PC38
## l_capital_gain                            -0.0498042792 -0.0596808700
## l_capital_loss                            -0.0116546249  0.1159069645
## age                                       -0.0008860384  0.0315916135
## fnlwgt                                    -0.0425041886  0.1856523315
## education_num                             -0.0228226910  0.0099707014
## hours_per_week                            -0.0858899446 -0.0758551368
## workclass_federal_gov                      0.0118113587 -0.0032436280
## workclass_local_gov                       -0.1295635922 -0.0087931816
## workclass_private                         -0.0472011378 -0.0084541959
## workclass_self_emp_inc                    -0.1087001882 -0.0234526903
## workclass_self_emp_not_inc                 0.0865027609  0.0563631066
## workclass_state_gov                        0.2614013183 -0.0225252356
## workclass_without_pay                     -0.2410734402 -0.0072923600
## education_1st_4th                          0.0965631167 -0.0520627985
## education_5th_6th                          0.0195284919 -0.0047426352
## education_7th_8th                         -0.2238997651 -0.1521427992
## education_9th                             -0.0103665603  0.0672201921
## education_10th                             0.1350083956  0.0587533460
## education_11th                             0.1832223378 -0.0689710456
## education_12th                            -0.1167185508  0.0095264348
## education_assoc_acdm                      -0.1585988950 -0.1345505196
## education_assoc_voc                        0.0367220254  0.0749838464
## education_bachelors                        0.0515241120 -0.0184030554
## education_doctorate                       -0.1920799447  0.0468625446
## education_hs_grad                          0.0269716732  0.0498221141
## education_masters                          0.1173382609 -0.1206382765
## education_preschool                       -0.0151472996 -0.0053305538
## education_prof_school                      0.0061374121  0.1051269001
## education_some_college                    -0.0904023340  0.0481358401
## marital_status_divorced                    0.1239948540  0.0216091383
## marital_status_married_af_spouse          -0.1200265376  0.1076472043
## marital_status_married_civ_spouse          0.0282105081  0.0054628299
## marital_status_married_spouse_absent      -0.0618860562  0.0479150443
## marital_status_never_married              -0.0087660360 -0.0298021176
## marital_status_separated                  -0.2225077346 -0.1802026603
## marital_status_widowed                    -0.0255220032  0.1625949744
## occupation_adm_clerical                    0.0290037208 -0.1327757422
## occupation_armed_forces                   -0.0340273838  0.0056652599
## occupation_craft_repair                   -0.0768700790 -0.0318867305
## occupation_exec_managerial                -0.0126787319  0.0663346701
## occupation_farming_fishing                -0.0421784812 -0.0291341441
## occupation_handlers_cleaners              -0.1191943276  0.1736342186
## occupation_machine_op_inspct               0.1102831721  0.0735690443
## occupation_other_service                  -0.0563869686  0.0134205477
## occupation_priv_house_serv                 0.0441423280  0.0318623073
## occupation_prof_specialty                 -0.0301860047 -0.0306868556
## occupation_protective_serv                -0.0151408133  0.0825462485
## occupation_sales                           0.0862185562 -0.0418198950
## occupation_tech_support                    0.0722623927  0.0720870967
## occupation_transport_moving                0.0569427008 -0.1103939739
## relationship_husband                       0.0367573143 -0.0080385827
## relationship_not_in_family                -0.0191500651  0.0184078083
## relationship_other_relative               -0.0364776325 -0.1673156420
## relationship_own_child                     0.0209081640  0.0431156104
## relationship_unmarried                    -0.0148217790 -0.0111226570
## relationship_wife                         -0.0301789430  0.0596892992
## race_amer_indian_eskimo                   -0.1156363674  0.1062618848
## race_asian_pac_islander                   -0.0122354616  0.0010334580
## race_black                                 0.0478113733 -0.0119363017
## race_other                                -0.0037594024  0.0587900981
## race_white                                -0.0007347908 -0.0353132969
## sex_female                                 0.0073604690 -0.0021398113
## sex_male                                  -0.0073604690  0.0021398113
## native_country_cambodia                   -0.0155255454 -0.0569865942
## native_country_canada                     -0.1212531493 -0.0089337952
## native_country_china                      -0.1067556678 -0.0263712345
## native_country_columbia                   -0.0233715921  0.2832436441
## native_country_cuba                       -0.0869725749  0.0699025617
## native_country_dominican_republic         -0.0564047027  0.0172173641
## native_country_ecuador                     0.0503455549 -0.1013854293
## native_country_el_salvador                -0.0118265299 -0.2081568187
## native_country_england                     0.1563339620  0.2214508443
## native_country_france                     -0.0564293795 -0.0142151262
## native_country_germany                     0.0763367954  0.0056582993
## native_country_greece                      0.0678464842 -0.0725423397
## native_country_guatemala                   0.0096067556 -0.0635240945
## native_country_haiti                       0.1057232361 -0.0283512239
## native_country_holand_netherlands          0.0115341384 -0.0808433995
## native_country_honduras                    0.1243794710  0.0035942131
## native_country_hong                       -0.1595844588 -0.0715677988
## native_country_hungary                     0.1135402989  0.1492148820
## native_country_india                       0.3715148795  0.0077906546
## native_country_iran                       -0.0386301843  0.0064939811
## native_country_ireland                    -0.0223200972 -0.1700618357
## native_country_italy                      -0.0138007589 -0.2206504773
## native_country_jamaica                     0.0111156888 -0.2078934881
## native_country_japan                       0.0978616154  0.1514335005
## native_country_laos                       -0.0264066419  0.1303327336
## native_country_mexico                      0.0172697335  0.0952023198
## native_country_nicaragua                   0.0166709084  0.0748963657
## native_country_outlying_us(guam_usvi_etc) -0.0172721816  0.1068566746
## native_country_peru                       -0.1032702003  0.1993725633
## native_country_philippines                -0.1369766461 -0.0354933999
## native_country_poland                     -0.0477810021  0.0728900330
## native_country_portugal                    0.1001410322 -0.2912282492
## native_country_puerto_rico                -0.0799407458 -0.0328790019
## native_country_scotland                    0.1199991422 -0.1757753502
## native_country_south                       0.0244529979  0.1027811141
## native_country_taiwan                     -0.1958439332  0.0020933045
## native_country_thailand                   -0.1348846652  0.0431752088
## native_country_trinadad&tobago             0.0984015738 -0.0258856479
## native_country_united_states              -0.0326239653  0.0001604338
## native_country_vietnam                     0.1302573513 -0.1326083743
## native_country_yugoslavia                  0.0489054701  0.1136222416
##                                                    PC39           PC40
## l_capital_gain                             0.0905366741  0.03409985383
## l_capital_loss                            -0.0453582243 -0.06646465449
## age                                       -0.0029388624  0.00122157507
## fnlwgt                                     0.0678385984  0.03407162254
## education_num                              0.0090364987  0.01480839866
## hours_per_week                             0.0029814862  0.02474172691
## workclass_federal_gov                      0.0280388188 -0.03658228886
## workclass_local_gov                        0.0978186793 -0.05792872916
## workclass_private                         -0.0050996273  0.02385845879
## workclass_self_emp_inc                     0.0207016094 -0.08000281936
## workclass_self_emp_not_inc                 0.0021872269  0.05477464459
## workclass_state_gov                       -0.1502293208  0.07487307089
## workclass_without_pay                     -0.0619758603 -0.22850270113
## education_1st_4th                          0.0100683437  0.05610926810
## education_5th_6th                          0.0133469944 -0.08479447798
## education_7th_8th                         -0.0466767684 -0.05935709386
## education_9th                              0.1166241107  0.02108457235
## education_10th                             0.0054167987 -0.12764415071
## education_11th                             0.1123125818  0.19852627053
## education_12th                            -0.1661650688  0.15302602445
## education_assoc_acdm                      -0.0092669627  0.15324396468
## education_assoc_voc                        0.0583759017  0.01545800556
## education_bachelors                        0.0144622152 -0.03539616620
## education_doctorate                        0.1146087994  0.02192729539
## education_hs_grad                         -0.0280188983 -0.07628292373
## education_masters                         -0.0496472414 -0.04557949259
## education_preschool                       -0.1946101885  0.00723099018
## education_prof_school                     -0.0567979661  0.02056190982
## education_some_college                    -0.0035165551 -0.00016369347
## marital_status_divorced                    0.0148657069 -0.09526130824
## marital_status_married_af_spouse          -0.1423073583  0.00997152844
## marital_status_married_civ_spouse          0.0019021322  0.00483379842
## marital_status_married_spouse_absent       0.1422321233 -0.00276419585
## marital_status_never_married               0.0330315401 -0.00896833158
## marital_status_separated                  -0.2323842324  0.14412318778
## marital_status_widowed                     0.0424366965  0.05881284156
## occupation_adm_clerical                    0.0390757173  0.05130169986
## occupation_armed_forces                    0.0377597493  0.00009706294
## occupation_craft_repair                    0.0015832533 -0.05996552445
## occupation_exec_managerial                 0.0054481720  0.08386407313
## occupation_farming_fishing                 0.0127226298  0.00994110782
## occupation_handlers_cleaners              -0.2037880269 -0.04837949657
## occupation_machine_op_inspct               0.1044933800  0.05757978101
## occupation_other_service                   0.0503543929  0.00770791131
## occupation_priv_house_serv                -0.0664441206 -0.05119665680
## occupation_prof_specialty                  0.0158394356 -0.03094819889
## occupation_protective_serv                -0.0379505455  0.05793613705
## occupation_sales                          -0.0530537656 -0.05151167744
## occupation_tech_support                   -0.0762498585 -0.16811330577
## occupation_transport_moving                0.0826697735  0.08417420076
## relationship_husband                       0.0102176984 -0.00434808267
## relationship_not_in_family                -0.0477433661  0.03731088698
## relationship_other_relative                0.1370783766  0.12601516208
## relationship_own_child                     0.0020878785 -0.07376336143
## relationship_unmarried                     0.0064925325 -0.03872472477
## relationship_wife                         -0.0484597812  0.01124804955
## race_amer_indian_eskimo                   -0.0871380724  0.14271860064
## race_asian_pac_islander                    0.0061301738  0.00179763371
## race_black                                 0.0144955272 -0.03864994472
## race_other                                -0.0186383132 -0.07742282558
## race_white                                 0.0141325867  0.01106069867
## sex_female                                 0.0190183554 -0.00017975246
## sex_male                                  -0.0190183554  0.00017975246
## native_country_cambodia                   -0.0260833178  0.20482954340
## native_country_canada                      0.1394182579 -0.19274099942
## native_country_china                       0.0250740192 -0.03147111670
## native_country_columbia                    0.0004353111  0.19121704898
## native_country_cuba                       -0.0598486061  0.25252288589
## native_country_dominican_republic         -0.0757572328 -0.05885345389
## native_country_ecuador                     0.0199404106 -0.10834579380
## native_country_el_salvador                -0.0302325566 -0.11014362093
## native_country_england                    -0.1370545528 -0.03039956168
## native_country_france                      0.0037079656 -0.24427918127
## native_country_germany                     0.0029268737  0.14700533813
## native_country_greece                     -0.0032710382 -0.20448557639
## native_country_guatemala                  -0.0794497372 -0.09810510911
## native_country_haiti                      -0.0968580091 -0.06941354724
## native_country_holand_netherlands          0.2142644927  0.15278573746
## native_country_honduras                   -0.0946964635 -0.05804063978
## native_country_hong                       -0.2298142225  0.22143832321
## native_country_hungary                     0.0336408481  0.05530416006
## native_country_india                      -0.1229761333  0.06818986593
## native_country_iran                        0.0722271644 -0.01227595745
## native_country_ireland                     0.0607416377  0.07658469091
## native_country_italy                      -0.2873491112 -0.00559665182
## native_country_jamaica                     0.1268170872  0.00822728161
## native_country_japan                      -0.1093320123 -0.11005091280
## native_country_laos                        0.0514013629 -0.04925601559
## native_country_mexico                      0.0848028650  0.01875745375
## native_country_nicaragua                  -0.0826119937  0.08353897075
## native_country_outlying_us(guam_usvi_etc) -0.0760774149  0.07122581902
## native_country_peru                       -0.0058041377 -0.06212009571
## native_country_philippines                -0.1223948730 -0.14675155059
## native_country_poland                      0.1432135785  0.04811910214
## native_country_portugal                   -0.1105548613 -0.06514899675
## native_country_puerto_rico                 0.0652891566  0.04604920908
## native_country_scotland                   -0.1572899144  0.23495774870
## native_country_south                      -0.0483616065  0.07916318875
## native_country_taiwan                      0.1401752808 -0.09527573087
## native_country_thailand                    0.1483911349  0.20942821006
## native_country_trinadad&tobago             0.0529396579 -0.16686443452
## native_country_united_states               0.0189256125  0.00246976786
## native_country_vietnam                     0.3774005121  0.01962576415
## native_country_yugoslavia                  0.1489414237  0.05797805117
##                                                    PC41           PC42
## l_capital_gain                             0.0391907074  0.05837596313
## l_capital_loss                            -0.0247537020 -0.01509754714
## age                                        0.0311665520 -0.00520607600
## fnlwgt                                    -0.0561643675  0.00271196986
## education_num                              0.0002750081 -0.01040850067
## hours_per_week                             0.0180971676  0.00666340473
## workclass_federal_gov                      0.0257252236 -0.02627623716
## workclass_local_gov                        0.0372201025  0.03882627119
## workclass_private                         -0.0202002957 -0.05247321758
## workclass_self_emp_inc                    -0.0144229532  0.03024832022
## workclass_self_emp_not_inc                 0.0265514074  0.06320600997
## workclass_state_gov                       -0.0568736298 -0.00398279900
## workclass_without_pay                      0.0885756441 -0.20973224844
## education_1st_4th                          0.0381794863  0.03690065224
## education_5th_6th                          0.0191441615 -0.00747234782
## education_7th_8th                         -0.2166074967  0.03061632940
## education_9th                              0.0257293487 -0.02109248787
## education_10th                             0.0563367853 -0.06925966085
## education_11th                             0.0981644364  0.00973338376
## education_12th                             0.0477325360 -0.02989102332
## education_assoc_acdm                      -0.0210144037  0.04146798577
## education_assoc_voc                        0.0952261303 -0.10619140204
## education_bachelors                       -0.0668421771  0.02756047411
## education_doctorate                        0.0785083163 -0.01151402277
## education_hs_grad                         -0.0342271198  0.01171514114
## education_masters                          0.0475691018 -0.05099920479
## education_preschool                        0.0361587305  0.05767129259
## education_prof_school                     -0.0854568673  0.01644294467
## education_some_college                     0.0101272155  0.03940669160
## marital_status_divorced                   -0.0583524199 -0.04520050204
## marital_status_married_af_spouse           0.2970021614 -0.13332042683
## marital_status_married_civ_spouse         -0.0267645910  0.00126474867
## marital_status_married_spouse_absent      -0.0004906544  0.01505046615
## marital_status_never_married              -0.0107958291  0.01141758654
## marital_status_separated                   0.1148932403  0.10377455872
## marital_status_widowed                     0.0650783317 -0.03906042937
## occupation_adm_clerical                   -0.0183816489 -0.02260811275
## occupation_armed_forces                   -0.0151647337 -0.15908799777
## occupation_craft_repair                   -0.0197828803 -0.03038749224
## occupation_exec_managerial                 0.0172805323  0.01717057703
## occupation_farming_fishing                 0.0073305442 -0.08895664804
## occupation_handlers_cleaners               0.0664840660  0.11516206850
## occupation_machine_op_inspct               0.0606037749  0.02142407593
## occupation_other_service                  -0.0642099999 -0.04040364619
## occupation_priv_house_serv                -0.0116386428 -0.02767990863
## occupation_prof_specialty                 -0.0354722927  0.00005476513
## occupation_protective_serv                 0.0217995387 -0.08440085554
## occupation_sales                           0.0149641540 -0.07287705580
## occupation_tech_support                   -0.0349423833  0.17724496909
## occupation_transport_moving                0.0351959847  0.09397401419
## relationship_husband                      -0.0229007405 -0.01852389110
## relationship_not_in_family                 0.0357358716  0.02051461489
## relationship_other_relative               -0.0383271972 -0.02552631650
## relationship_own_child                     0.0035199705 -0.00605075206
## relationship_unmarried                    -0.0159867899 -0.00541300424
## relationship_wife                          0.0277056622  0.03944298207
## race_amer_indian_eskimo                   -0.1954279287  0.04918718883
## race_asian_pac_islander                    0.0165880126  0.00499403047
## race_black                                 0.0286615748 -0.01686801731
## race_other                                 0.0040566626 -0.01518963102
## race_white                                 0.0219167177  0.00176269873
## sex_female                                -0.0185107466  0.00446027753
## sex_male                                   0.0185107466 -0.00446027753
## native_country_cambodia                    0.0539147538 -0.06849226547
## native_country_canada                      0.0715253743 -0.00438660681
## native_country_china                      -0.1758883780  0.06063266621
## native_country_columbia                   -0.0053469629  0.15791273452
## native_country_cuba                       -0.0268734674 -0.16113204994
## native_country_dominican_republic          0.1785933812  0.20771599205
## native_country_ecuador                    -0.0166790035 -0.23951338064
## native_country_el_salvador                 0.0411033638  0.12884804917
## native_country_england                     0.2654623464 -0.15474663282
## native_country_france                     -0.2021291267  0.15465280433
## native_country_germany                    -0.1501872811 -0.08857284377
## native_country_greece                      0.0330648650 -0.04398220538
## native_country_guatemala                  -0.0986477445 -0.12610388727
## native_country_haiti                      -0.0159739761 -0.02576893450
## native_country_holand_netherlands         -0.0291818201 -0.05486690270
## native_country_honduras                    0.1362948212  0.13644478610
## native_country_hong                       -0.1655123567  0.02273004413
## native_country_hungary                    -0.0330014384  0.23223750689
## native_country_india                      -0.0196472121 -0.14464220139
## native_country_iran                        0.3203540549  0.01611655203
## native_country_ireland                    -0.0231608213 -0.08148433493
## native_country_italy                      -0.0053428772  0.23765038817
## native_country_jamaica                     0.0409536069 -0.02754973851
## native_country_japan                      -0.2492510394 -0.06613219068
## native_country_laos                        0.1183656373  0.10726444642
## native_country_mexico                     -0.0526977627 -0.09371665344
## native_country_nicaragua                   0.0780144757  0.29998813259
## native_country_outlying_us(guam_usvi_etc)  0.1304733431  0.05364459726
## native_country_peru                       -0.3261246709 -0.01949395226
## native_country_philippines                 0.2055990493 -0.11894436070
## native_country_poland                      0.1002836372  0.07509163058
## native_country_portugal                   -0.0712018387  0.04530953216
## native_country_puerto_rico                -0.0410429604  0.01780456827
## native_country_scotland                    0.0799171613 -0.17563246743
## native_country_south                      -0.1255944494  0.14011865438
## native_country_taiwan                      0.1073864298 -0.08509458966
## native_country_thailand                   -0.0400238863 -0.19639115743
## native_country_trinadad&tobago            -0.0839992270 -0.09138266567
## native_country_united_states              -0.0009164817  0.00551033475
## native_country_vietnam                     0.0903541820  0.33432885497
## native_country_yugoslavia                 -0.1405248113 -0.03774521097
##                                                    PC43           PC44
## l_capital_gain                            -0.1077163780 -0.02973410015
## l_capital_loss                            -0.0203769677  0.01679774371
## age                                       -0.0157856567  0.01948047967
## fnlwgt                                    -0.0032916495  0.02458904476
## education_num                              0.0186832518  0.01178682860
## hours_per_week                             0.0334655031 -0.05387227848
## workclass_federal_gov                      0.0074254538 -0.00606050491
## workclass_local_gov                       -0.0195711546 -0.04773888306
## workclass_private                         -0.0023321893 -0.01224343269
## workclass_self_emp_inc                    -0.0012111626 -0.02063765776
## workclass_self_emp_not_inc                 0.0104549789  0.02630112586
## workclass_state_gov                        0.0353001381  0.06099516299
## workclass_without_pay                     -0.2391245466  0.12543416535
## education_1st_4th                          0.0124568769  0.03585877779
## education_5th_6th                          0.0179755918  0.02222837736
## education_7th_8th                          0.0681747961  0.06739926655
## education_9th                             -0.0419161282 -0.03694260326
## education_10th                            -0.0699540064 -0.07434267990
## education_11th                            -0.0210120264  0.01202655068
## education_12th                            -0.0785516766 -0.10218379060
## education_assoc_acdm                       0.0121851765  0.01550712515
## education_assoc_voc                        0.0585312681  0.05502803511
## education_bachelors                        0.0160537424  0.02034303988
## education_doctorate                       -0.0190647917 -0.01241670490
## education_hs_grad                          0.0013395223  0.01409618964
## education_masters                         -0.0141145411 -0.00983033122
## education_preschool                       -0.0003496083 -0.01443013736
## education_prof_school                      0.0203495868  0.01799510563
## education_some_college                    -0.0016143069 -0.03459398587
## marital_status_divorced                    0.0066531906  0.07548928230
## marital_status_married_af_spouse           0.1116487309 -0.11346402225
## marital_status_married_civ_spouse         -0.0018394898  0.00170090672
## marital_status_married_spouse_absent      -0.0335968515 -0.02418997821
## marital_status_never_married               0.0077431067 -0.00173103908
## marital_status_separated                  -0.0593975518 -0.06810786500
## marital_status_widowed                     0.0364684903 -0.05227138885
## occupation_adm_clerical                    0.0132485693  0.01166593437
## occupation_armed_forces                   -0.0164299530 -0.03950249030
## occupation_craft_repair                   -0.0304208918  0.00599042861
## occupation_exec_managerial                -0.0148932181  0.01379170765
## occupation_farming_fishing                -0.0424965306 -0.06876641291
## occupation_handlers_cleaners               0.0353307330 -0.01587085019
## occupation_machine_op_inspct               0.0133603375  0.01806938234
## occupation_other_service                   0.0345785917  0.00626821628
## occupation_priv_house_serv                 0.0137434137  0.00693728233
## occupation_prof_specialty                  0.0241485887  0.00445349966
## occupation_protective_serv                -0.0193524958 -0.02448360737
## occupation_sales                          -0.0303675526 -0.00314078435
## occupation_tech_support                   -0.0359495746 -0.03138375062
## occupation_transport_moving                0.0332645056  0.03325374881
## relationship_husband                       0.0092585888  0.00231293219
## relationship_not_in_family                -0.0191362345 -0.01117262561
## relationship_other_relative               -0.0061834247  0.00905575146
## relationship_own_child                     0.0024676404  0.04240491186
## relationship_unmarried                     0.0184236014 -0.02932585889
## relationship_wife                         -0.0079367282 -0.01789856804
## race_amer_indian_eskimo                   -0.0349195562  0.10750914413
## race_asian_pac_islander                   -0.0004672783 -0.01422946442
## race_black                                 0.0093878352  0.00153870646
## race_other                                 0.0090763287  0.00808378188
## race_white                                -0.0001306886 -0.02674411522
## sex_female                                -0.0059995672 -0.00230458858
## sex_male                                   0.0059995672  0.00230458858
## native_country_cambodia                   -0.1097547122 -0.11057031609
## native_country_canada                      0.0950592830  0.06416512990
## native_country_china                      -0.1327241755  0.04660389506
## native_country_columbia                   -0.1278217490 -0.15920264796
## native_country_cuba                       -0.1537064406  0.42274786696
## native_country_dominican_republic         -0.1111115809  0.07912969506
## native_country_ecuador                     0.0300924748  0.09872291917
## native_country_el_salvador                -0.0188765292  0.15458007825
## native_country_england                    -0.3283084929 -0.17923609619
## native_country_france                      0.0098408453 -0.22786722009
## native_country_germany                    -0.1189847237 -0.09041217359
## native_country_greece                      0.0515219146  0.01249055966
## native_country_guatemala                   0.1092261322 -0.02022147594
## native_country_haiti                       0.1327034465 -0.12195940580
## native_country_holand_netherlands         -0.0554122189  0.03835261804
## native_country_honduras                   -0.1968387826  0.05602537039
## native_country_hong                       -0.2238940383  0.08154289732
## native_country_hungary                    -0.0929894674  0.27988598002
## native_country_india                       0.0360236625 -0.03884718819
## native_country_iran                        0.2342015132  0.23330882451
## native_country_ireland                    -0.1078943634 -0.10313977824
## native_country_italy                       0.0703216506 -0.19916859956
## native_country_jamaica                    -0.0586837475  0.14236546648
## native_country_japan                       0.0412833076 -0.01959024880
## native_country_laos                        0.2299994066  0.17573703789
## native_country_mexico                      0.0152913942 -0.03709965975
## native_country_nicaragua                   0.1671444370 -0.01679867758
## native_country_outlying_us(guam_usvi_etc)  0.2777890754 -0.02212889669
## native_country_peru                        0.0615293725  0.03001177068
## native_country_philippines                -0.0386669742  0.10327131329
## native_country_poland                      0.1069304159  0.01877575585
## native_country_portugal                    0.1724610902  0.13829506897
## native_country_puerto_rico                -0.0088302956 -0.25150604590
## native_country_scotland                    0.1442511931 -0.01063293273
## native_country_south                       0.1776449266  0.03867346613
## native_country_taiwan                     -0.0193240909 -0.06873689500
## native_country_thailand                    0.3637502431 -0.27491229342
## native_country_trinadad&tobago            -0.1221272400 -0.16275944246
## native_country_united_states               0.0051070134  0.00004837186
## native_country_vietnam                    -0.2071114279 -0.16110327510
## native_country_yugoslavia                 -0.0041796536  0.20364410263
##                                                     PC45          PC46
## l_capital_gain                            -0.02559581257 -0.0021984369
## l_capital_loss                            -0.06086313483  0.0193248988
## age                                       -0.00556931454 -0.0270466860
## fnlwgt                                     0.01190375841  0.0206041462
## education_num                              0.00071173967 -0.0017577301
## hours_per_week                            -0.00674055104  0.0242083924
## workclass_federal_gov                     -0.01111651703 -0.0063705702
## workclass_local_gov                       -0.01742281991 -0.0063177511
## workclass_private                         -0.00058038044 -0.0041053500
## workclass_self_emp_inc                     0.02987447395 -0.0148569996
## workclass_self_emp_not_inc                -0.01720606835 -0.0017455029
## workclass_state_gov                        0.03339839847  0.0381805014
## workclass_without_pay                     -0.04704221795  0.0013502436
## education_1st_4th                          0.00645038192  0.0081020101
## education_5th_6th                         -0.00254245945  0.0147251599
## education_7th_8th                          0.00420918258  0.0428252344
## education_9th                             -0.00875588380 -0.0133077028
## education_10th                            -0.00457573784 -0.0317821144
## education_11th                             0.03803384082 -0.0072951294
## education_12th                             0.01871672618 -0.0158719560
## education_assoc_acdm                      -0.00594644233 -0.0085694470
## education_assoc_voc                       -0.07858328572 -0.0267855104
## education_bachelors                        0.03407443791 -0.0020037864
## education_doctorate                       -0.03106516452 -0.0374566459
## education_hs_grad                         -0.01679349994  0.0059488337
## education_masters                          0.01906245469  0.0359988680
## education_preschool                       -0.01125838926 -0.0283439090
## education_prof_school                     -0.00757300316  0.0048760689
## education_some_college                     0.01101428528  0.0083023898
## marital_status_divorced                    0.00655793566  0.0059842012
## marital_status_married_af_spouse           0.08013020506  0.1790292837
## marital_status_married_civ_spouse         -0.00897586159 -0.0196146967
## marital_status_married_spouse_absent       0.00156661936 -0.0093839094
## marital_status_never_married               0.00475582078  0.0102700420
## marital_status_separated                  -0.01324861181 -0.0163657893
## marital_status_widowed                    -0.00009696453  0.0122285554
## occupation_adm_clerical                   -0.01991342329 -0.0318567007
## occupation_armed_forces                    0.00942064196 -0.0307086123
## occupation_craft_repair                    0.04730729029  0.0233774693
## occupation_exec_managerial                 0.01055172593  0.0040013483
## occupation_farming_fishing                -0.01210482852 -0.0336466844
## occupation_handlers_cleaners              -0.10342378873 -0.0556972443
## occupation_machine_op_inspct               0.01852177939  0.0086608050
## occupation_other_service                  -0.01621479477 -0.0111580326
## occupation_priv_house_serv                -0.00294913861 -0.0038009212
## occupation_prof_specialty                  0.00052617201  0.0161045304
## occupation_protective_serv                -0.01983283641 -0.0362105804
## occupation_sales                          -0.02938944918 -0.0130490296
## occupation_tech_support                    0.04483785836  0.0057460759
## occupation_transport_moving                0.06989490740  0.1081669201
## relationship_husband                      -0.00837425033 -0.0080817676
## relationship_not_in_family                -0.01361688899 -0.0116475562
## relationship_other_relative                0.00934880626 -0.0150989401
## relationship_own_child                     0.00770299806  0.0188942300
## relationship_unmarried                     0.01614568620  0.0201048222
## relationship_wife                          0.00383040362 -0.0058034656
## race_amer_indian_eskimo                    0.07031719635 -0.0016003160
## race_asian_pac_islander                   -0.00580117771 -0.0001934598
## race_black                                -0.00901719543  0.0055527478
## race_other                                -0.01844620634 -0.0133467301
## race_white                                -0.00474277780 -0.0007308381
## sex_female                                -0.00089512565 -0.0013711044
## sex_male                                   0.00089512565  0.0013711044
## native_country_cambodia                    0.20500229502  0.2403869095
## native_country_canada                      0.16890854168 -0.4349897832
## native_country_china                      -0.29450566726 -0.0049597955
## native_country_columbia                    0.03036268403 -0.0178002282
## native_country_cuba                        0.07744291310 -0.1367081481
## native_country_dominican_republic         -0.09255931375 -0.0429985082
## native_country_ecuador                     0.14138564204 -0.1079947557
## native_country_el_salvador                -0.15294091620  0.0684357813
## native_country_england                    -0.05624973449 -0.1132893001
## native_country_france                      0.36109285113  0.0440581898
## native_country_germany                    -0.31552591719  0.3953076749
## native_country_greece                     -0.10524757723  0.1605144986
## native_country_guatemala                  -0.16695615890 -0.0630289478
## native_country_haiti                       0.12369691649 -0.0599139989
## native_country_holand_netherlands         -0.13523638867  0.1218053616
## native_country_honduras                    0.12827504687  0.0705892294
## native_country_hong                        0.07984537486 -0.1707776083
## native_country_hungary                     0.27607494815  0.1870977748
## native_country_india                       0.01453307534 -0.0859983264
## native_country_iran                       -0.15540032954  0.1899061112
## native_country_ireland                    -0.04217556106 -0.0825574138
## native_country_italy                      -0.08237697509  0.0250928203
## native_country_jamaica                    -0.11016634300 -0.0444406735
## native_country_japan                      -0.20237878650 -0.2063701169
## native_country_laos                       -0.10539718547 -0.0460488081
## native_country_mexico                      0.07553412126  0.0250542530
## native_country_nicaragua                   0.08308416302 -0.0761614939
## native_country_outlying_us(guam_usvi_etc) -0.22008522581 -0.0471368066
## native_country_peru                       -0.02285104033 -0.0073702800
## native_country_philippines                 0.12537569202  0.1292920557
## native_country_poland                      0.10808975724  0.0135308526
## native_country_portugal                    0.11828058608  0.0857526861
## native_country_puerto_rico                -0.03098851765  0.1230031722
## native_country_scotland                    0.17228267751 -0.2260646221
## native_country_south                       0.02822575673  0.1270564876
## native_country_taiwan                      0.23935276201  0.1443372028
## native_country_thailand                    0.03371003917 -0.0496042921
## native_country_trinadad&tobago             0.09875389282  0.1839715311
## native_country_united_states              -0.00537315616 -0.0062883714
## native_country_vietnam                    -0.08755014887 -0.2858966185
## native_country_yugoslavia                  0.12523819430  0.0930950266
##                                                    PC47          PC48
## l_capital_gain                            -0.0272476816 -0.0173569882
## l_capital_loss                             0.0079328482  0.0010945813
## age                                       -0.0056893517  0.0090865558
## fnlwgt                                    -0.0110891756 -0.0120840956
## education_num                             -0.0012964148  0.0053878715
## hours_per_week                             0.0220274938 -0.0178014538
## workclass_federal_gov                      0.0057656102 -0.0009031247
## workclass_local_gov                        0.0075077289 -0.0052749252
## workclass_private                          0.0106196158  0.0073267477
## workclass_self_emp_inc                    -0.0321091551  0.0189635580
## workclass_self_emp_not_inc                 0.0204065301  0.0112647023
## workclass_state_gov                       -0.0152763426 -0.0309492383
## workclass_without_pay                     -0.1912939137 -0.0989851567
## education_1st_4th                         -0.0302605189  0.0076348661
## education_5th_6th                          0.0132188408 -0.0007941764
## education_7th_8th                          0.0786246251 -0.0232608492
## education_9th                              0.0097680826 -0.0093074875
## education_10th                            -0.0262051532  0.0088501856
## education_11th                            -0.0407032905  0.0047826180
## education_12th                            -0.0076087711 -0.0139879670
## education_assoc_acdm                      -0.0074078203 -0.0237590051
## education_assoc_voc                        0.0063451132  0.0166411532
## education_bachelors                        0.0073455747  0.0008380889
## education_doctorate                        0.0285151937  0.0290631273
## education_hs_grad                         -0.0001342573  0.0056451271
## education_masters                         -0.0369702327 -0.0164748163
## education_preschool                        0.0033988016  0.0071077283
## education_prof_school                      0.0399089811  0.0060146887
## education_some_college                    -0.0020565826  0.0011677798
## marital_status_divorced                    0.0106989263  0.0029172226
## marital_status_married_af_spouse           0.1001546255  0.0880893807
## marital_status_married_civ_spouse         -0.0090189493  0.0001414099
## marital_status_married_spouse_absent       0.0133941527  0.0000751121
## marital_status_never_married               0.0024844024 -0.0049475793
## marital_status_separated                  -0.0177136212 -0.0085911854
## marital_status_widowed                    -0.0085788750  0.0022682117
## occupation_adm_clerical                    0.0045758891  0.0189930070
## occupation_armed_forces                   -0.0211767814 -0.0520811099
## occupation_craft_repair                    0.0171576600 -0.0002699998
## occupation_exec_managerial                 0.0228185737 -0.0207836089
## occupation_farming_fishing                -0.0084678479  0.0045814416
## occupation_handlers_cleaners               0.0140484478  0.0081211939
## occupation_machine_op_inspct              -0.0346540380  0.0042097950
## occupation_other_service                  -0.0066331628  0.0208769939
## occupation_priv_house_serv                -0.0149881091  0.0061042559
## occupation_prof_specialty                  0.0024180456 -0.0068121482
## occupation_protective_serv                 0.0255211170  0.0224508615
## occupation_sales                          -0.0187505638  0.0025104212
## occupation_tech_support                    0.0154640110  0.0146365563
## occupation_transport_moving               -0.0251491917 -0.0585734340
## relationship_husband                      -0.0020875227  0.0086384121
## relationship_not_in_family                -0.0315335787  0.0107379610
## relationship_other_relative                0.0234252030 -0.0054437421
## relationship_own_child                     0.0241609045 -0.0046706992
## relationship_unmarried                     0.0118712385 -0.0171692733
## relationship_wife                         -0.0063975646 -0.0052156490
## race_amer_indian_eskimo                   -0.0337858818  0.0304073439
## race_asian_pac_islander                    0.0018029746 -0.0050076225
## race_black                                 0.0035188780 -0.0015610363
## race_other                                 0.0021589151  0.0093055419
## race_white                                 0.0051386815 -0.0071953635
## sex_female                                 0.0031137104 -0.0055730729
## sex_male                                  -0.0031137104  0.0055730729
## native_country_cambodia                   -0.0364885208 -0.3625947581
## native_country_canada                     -0.2342172669 -0.3220054460
## native_country_china                       0.0370490784  0.0574119219
## native_country_columbia                   -0.0782863978  0.0233164898
## native_country_cuba                        0.2574920206  0.3309279477
## native_country_dominican_republic         -0.1141892408 -0.0434585906
## native_country_ecuador                     0.0983368195  0.0112025434
## native_country_el_salvador                 0.1177180912 -0.1117240018
## native_country_england                     0.3672914146 -0.1325528214
## native_country_france                      0.2696957823  0.1152128647
## native_country_germany                    -0.1926166419  0.0482071134
## native_country_greece                      0.0015609979  0.0613343767
## native_country_guatemala                  -0.1457429813  0.0799008977
## native_country_haiti                      -0.0626418752  0.3167252921
## native_country_holand_netherlands          0.1241988408 -0.0501419180
## native_country_honduras                   -0.1874376100 -0.0780021474
## native_country_hong                       -0.1373827100 -0.0666008515
## native_country_hungary                    -0.1676337648  0.1080026048
## native_country_india                       0.0548700105 -0.1494130977
## native_country_iran                       -0.2293577392  0.1895865072
## native_country_ireland                    -0.0462184656  0.3115949070
## native_country_italy                       0.0082094028 -0.0701352114
## native_country_jamaica                     0.1765151205 -0.2347845504
## native_country_japan                      -0.2005830574  0.1220406765
## native_country_laos                        0.2750869623  0.0025658208
## native_country_mexico                     -0.0123355239 -0.0042578626
## native_country_nicaragua                  -0.1157957965  0.0199609614
## native_country_outlying_us(guam_usvi_etc)  0.0393472488 -0.1822733152
## native_country_peru                        0.0257561082 -0.1430750305
## native_country_philippines                -0.0771346798  0.0161284303
## native_country_poland                     -0.0236260989  0.0125105948
## native_country_portugal                    0.1377456819 -0.0440024705
## native_country_puerto_rico                 0.1719748591  0.0560393535
## native_country_scotland                   -0.1014763791  0.1253792639
## native_country_south                       0.1834799914 -0.0547314733
## native_country_taiwan                      0.0311357698  0.1720237422
## native_country_thailand                   -0.1349419171 -0.0916272264
## native_country_trinadad&tobago            -0.2231059344  0.0199621737
## native_country_united_states               0.0053947240  0.0019628649
## native_country_vietnam                    -0.0104828060  0.1431288263
## native_country_yugoslavia                 -0.0661516987 -0.2608199881
##                                                    PC49          PC50
## l_capital_gain                            -0.0048212240 -0.0148022631
## l_capital_loss                            -0.0087634938  0.0005997085
## age                                        0.0023832036  0.0040243808
## fnlwgt                                     0.0135945159 -0.0043560875
## education_num                             -0.0093120362  0.0011319491
## hours_per_week                             0.0160161972  0.0030276202
## workclass_federal_gov                     -0.0015603199  0.0018233537
## workclass_local_gov                        0.0239695993 -0.0051676765
## workclass_private                          0.0019517216  0.0084921839
## workclass_self_emp_inc                     0.0074652305  0.0082785852
## workclass_self_emp_not_inc                -0.0071660553  0.0006915597
## workclass_state_gov                       -0.0208568377 -0.0260902308
## workclass_without_pay                     -0.0846747564  0.0371640816
## education_1st_4th                         -0.0200730016  0.0047811958
## education_5th_6th                         -0.0096966608 -0.0035487849
## education_7th_8th                         -0.0225193695 -0.0115569498
## education_9th                              0.0200513982  0.0041171642
## education_10th                             0.0448309995  0.0032407123
## education_11th                             0.0231510781 -0.0117576855
## education_12th                             0.0160272347 -0.0025345561
## education_assoc_acdm                      -0.0116103388 -0.0082708627
## education_assoc_voc                       -0.0468990803 -0.0213788474
## education_bachelors                        0.0025226674  0.0014409125
## education_doctorate                        0.0236981391 -0.0114825047
## education_hs_grad                         -0.0077583208 -0.0020685771
## education_masters                         -0.0037574322  0.0050956095
## education_preschool                       -0.0010012885  0.0045140876
## education_prof_school                     -0.0110206671  0.0007759990
## education_some_college                     0.0088383063  0.0219545020
## marital_status_divorced                   -0.0052789409 -0.0173754439
## marital_status_married_af_spouse           0.1362803050 -0.1101551858
## marital_status_married_civ_spouse         -0.0036557829  0.0092202455
## marital_status_married_spouse_absent       0.0195881498  0.0060263530
## marital_status_never_married              -0.0084400458  0.0031558387
## marital_status_separated                  -0.0106610768  0.0204868196
## marital_status_widowed                     0.0221909946 -0.0081716898
## occupation_adm_clerical                    0.0350678862  0.0086527484
## occupation_armed_forces                   -0.0127493549  0.0543381439
## occupation_craft_repair                    0.0283306989  0.0150837997
## occupation_exec_managerial                -0.0044966957  0.0046962185
## occupation_farming_fishing                -0.0184526357  0.0052118661
## occupation_handlers_cleaners              -0.0345381740  0.0035654139
## occupation_machine_op_inspct              -0.0012770302 -0.0122061054
## occupation_other_service                   0.0146417217 -0.0108408771
## occupation_priv_house_serv                -0.0024755222  0.0088849963
## occupation_prof_specialty                 -0.0125908762  0.0140607399
## occupation_protective_serv                 0.0167229269 -0.0117290087
## occupation_sales                           0.0069312806 -0.0247587760
## occupation_tech_support                   -0.0177607859 -0.0151236412
## occupation_transport_moving               -0.0464564104  0.0052492934
## relationship_husband                       0.0112522140  0.0028338085
## relationship_not_in_family                 0.0062969545 -0.0087614573
## relationship_other_relative                0.0061783322 -0.0132178299
## relationship_own_child                    -0.0032080526  0.0030574425
## relationship_unmarried                    -0.0104437009  0.0089841466
## relationship_wife                         -0.0238135863  0.0040244608
## race_amer_indian_eskimo                    0.0070804416  0.0032180401
## race_asian_pac_islander                    0.0004327562  0.0009695046
## race_black                                -0.0070175685 -0.0014905583
## race_other                                -0.0013193583  0.0012347862
## race_white                                 0.0040253167 -0.0004355444
## sex_female                                -0.0002231613  0.0039872724
## sex_male                                   0.0002231613 -0.0039872724
## native_country_cambodia                   -0.1579147927 -0.1309161215
## native_country_canada                      0.0956428546 -0.0119873698
## native_country_china                       0.2009576371  0.1353502851
## native_country_columbia                    0.0950160181 -0.1962854216
## native_country_cuba                       -0.0753105924 -0.0677755987
## native_country_dominican_republic          0.1330539093  0.0685470040
## native_country_ecuador                    -0.1269413828  0.0809098341
## native_country_el_salvador                -0.1564781996 -0.0334529005
## native_country_england                    -0.0453827564  0.1281072242
## native_country_france                      0.1798185475 -0.0582488569
## native_country_germany                     0.0552248467  0.1339633178
## native_country_greece                      0.0671692555  0.0360432313
## native_country_guatemala                  -0.0446620760  0.0269344681
## native_country_haiti                      -0.2076584453 -0.0488882610
## native_country_holand_netherlands         -0.0636633769 -0.2340718724
## native_country_honduras                   -0.1756077455  0.0297963505
## native_country_hong                       -0.1203527339 -0.0136172588
## native_country_hungary                    -0.1080223629  0.3833917247
## native_country_india                       0.1141156479 -0.0031768978
## native_country_iran                       -0.0199431207 -0.1214158782
## native_country_ireland                     0.3104128807  0.1637895464
## native_country_italy                      -0.1264166503 -0.0824298674
## native_country_jamaica                     0.2174125073 -0.0488886281
## native_country_japan                      -0.1490591927 -0.4789063880
## native_country_laos                       -0.0661131046  0.1458575834
## native_country_mexico                      0.0925993127  0.0137396421
## native_country_nicaragua                   0.3805926286 -0.0296116026
## native_country_outlying_us(guam_usvi_etc) -0.2199430105  0.2220127102
## native_country_peru                       -0.1884198445  0.3054747118
## native_country_philippines                 0.1414456091 -0.0165623696
## native_country_poland                     -0.2140270909 -0.2505842443
## native_country_portugal                   -0.0218903511 -0.0280706480
## native_country_puerto_rico                -0.1696176786 -0.0526827329
## native_country_scotland                    0.0090263211  0.1564045531
## native_country_south                       0.0742932512 -0.0013772013
## native_country_taiwan                     -0.2114554356 -0.0293995237
## native_country_thailand                   -0.0352801748  0.2143599831
## native_country_trinadad&tobago            -0.0065630103  0.1017106354
## native_country_united_states              -0.0001767155  0.0019877128
## native_country_vietnam                    -0.2283840874  0.0769256697
## native_country_yugoslavia                  0.1572980221 -0.2056550243
##                                                    PC51          PC52
## l_capital_gain                            -0.0381648729 -0.0101166029
## l_capital_loss                             0.0121217881  0.0075582916
## age                                        0.0165883138  0.0065814361
## fnlwgt                                     0.0149806606  0.0020774219
## education_num                             -0.0049405448  0.0089564474
## hours_per_week                            -0.0076970988 -0.0311115455
## workclass_federal_gov                      0.0079132916 -0.0033015401
## workclass_local_gov                        0.0018233685 -0.0097720035
## workclass_private                         -0.0018210997  0.0020211709
## workclass_self_emp_inc                    -0.0214653198  0.0028924210
## workclass_self_emp_not_inc                 0.0051214772 -0.0108952950
## workclass_state_gov                        0.0052559393  0.0255537415
## workclass_without_pay                      0.0232661472 -0.0257188272
## education_1st_4th                         -0.0131206192  0.0239161579
## education_5th_6th                          0.0008715364  0.0010505905
## education_7th_8th                          0.0035089353  0.0103328987
## education_9th                              0.0149137130 -0.0109971935
## education_10th                             0.0177896339 -0.0498298332
## education_11th                             0.0154571126 -0.0197245749
## education_12th                            -0.0001866409 -0.0296576864
## education_assoc_acdm                      -0.0008812883 -0.0117510450
## education_assoc_voc                        0.0092431225  0.0286792369
## education_bachelors                        0.0045992370  0.0106650765
## education_doctorate                        0.0147634782 -0.0115232262
## education_hs_grad                         -0.0022904897  0.0266945073
## education_masters                         -0.0033649948 -0.0107939223
## education_preschool                       -0.0035056247 -0.0002268359
## education_prof_school                     -0.0045727027  0.0075089548
## education_some_college                    -0.0233430007 -0.0102080770
## marital_status_divorced                    0.0268308321  0.0203375783
## marital_status_married_af_spouse           0.0081761738  0.0159302501
## marital_status_married_civ_spouse          0.0030656793  0.0051019478
## marital_status_married_spouse_absent       0.0044020929 -0.0092943706
## marital_status_never_married              -0.0026550017  0.0037685898
## marital_status_separated                  -0.0581161497 -0.0608644610
## marital_status_widowed                    -0.0010466331 -0.0010194050
## occupation_adm_clerical                    0.0190935139  0.0195738639
## occupation_armed_forces                    0.0179125454 -0.0295325938
## occupation_craft_repair                    0.0158615031 -0.0040360585
## occupation_exec_managerial                 0.0075276869 -0.0022899487
## occupation_farming_fishing                -0.0122814640 -0.0175305075
## occupation_handlers_cleaners              -0.0034236006  0.0038009864
## occupation_machine_op_inspct              -0.0155119727 -0.0021598171
## occupation_other_service                   0.0010226102  0.0125477250
## occupation_priv_house_serv                -0.0064045478  0.0105949748
## occupation_prof_specialty                 -0.0049181340  0.0145330250
## occupation_protective_serv                 0.0198456192 -0.0046519106
## occupation_sales                           0.0111276678  0.0185779713
## occupation_tech_support                   -0.0289445242 -0.0218156999
## occupation_transport_moving               -0.0336158799 -0.0544021661
## relationship_husband                       0.0100700392  0.0040847691
## relationship_not_in_family                -0.0086778066 -0.0186327326
## relationship_other_relative                0.0177325081 -0.0003183745
## relationship_own_child                    -0.0078952221  0.0141081272
## relationship_unmarried                     0.0056068236  0.0045576849
## relationship_wife                         -0.0147954724 -0.0008947217
## race_amer_indian_eskimo                   -0.0424609342  0.0535422463
## race_asian_pac_islander                    0.0023656896 -0.0095240411
## race_black                                 0.0041524728 -0.0013885440
## race_other                                 0.0058935977  0.0087211782
## race_white                                 0.0058293638 -0.0115256452
## sex_female                                 0.0032776782 -0.0021457895
## sex_male                                  -0.0032776782  0.0021457895
## native_country_cambodia                    0.0109567672  0.3750884950
## native_country_canada                      0.0038830497  0.0014941795
## native_country_china                      -0.1861819820  0.1664092600
## native_country_columbia                    0.2659185512  0.2228294806
## native_country_cuba                       -0.1709752099  0.1708671179
## native_country_dominican_republic          0.1780009527 -0.1496300104
## native_country_ecuador                    -0.1992197277 -0.1132682747
## native_country_el_salvador                 0.0600709063 -0.1085828030
## native_country_england                    -0.1334461092 -0.1524014663
## native_country_france                     -0.0154915372  0.1710732139
## native_country_germany                     0.0092300020 -0.2269944612
## native_country_greece                      0.2029147229  0.3123808961
## native_country_guatemala                   0.0780785601  0.1214406500
## native_country_haiti                      -0.0814146601  0.0475956923
## native_country_holand_netherlands          0.1305523388 -0.2465089538
## native_country_honduras                   -0.3410536802  0.0588646523
## native_country_hong                       -0.0342284316 -0.0605738058
## native_country_hungary                     0.1445521862 -0.1437930100
## native_country_india                       0.0184352608  0.0349756983
## native_country_iran                       -0.1569760299  0.2665746790
## native_country_ireland                    -0.1052731677  0.0435323831
## native_country_italy                       0.0082990092  0.0224883018
## native_country_jamaica                     0.1557098348 -0.0122663367
## native_country_japan                       0.0550823328 -0.1965873210
## native_country_laos                        0.0143796567 -0.0852195398
## native_country_mexico                      0.0060772980  0.0231660820
## native_country_nicaragua                  -0.1352136713 -0.2144912689
## native_country_outlying_us(guam_usvi_etc)  0.0396020413  0.2015383254
## native_country_peru                        0.1344780625  0.0945283349
## native_country_philippines                 0.0391059499 -0.0346712727
## native_country_poland                     -0.1244625510 -0.1698443906
## native_country_portugal                   -0.1112486831 -0.0947546142
## native_country_puerto_rico                -0.0489212672  0.0382676033
## native_country_scotland                    0.4348133257  0.0214635043
## native_country_south                       0.0222860103 -0.1514780477
## native_country_taiwan                      0.3371894145 -0.2048680447
## native_country_thailand                   -0.2929245116 -0.1257434228
## native_country_trinadad&tobago            -0.1244498321 -0.0603045302
## native_country_united_states               0.0021696171 -0.0008436072
## native_country_vietnam                    -0.0010904026  0.1513975152
## native_country_yugoslavia                 -0.0938829576  0.0988925780
##                                                    PC53           PC54
## l_capital_gain                            -0.0004185178 -0.05195322901
## l_capital_loss                            -0.0190980254  0.00930468310
## age                                        0.0096875100  0.00590697273
## fnlwgt                                    -0.0053134589 -0.01544636017
## education_num                             -0.0079755681 -0.00457037315
## hours_per_week                            -0.0287525574 -0.01462658989
## workclass_federal_gov                      0.0039162667  0.00639172749
## workclass_local_gov                        0.0222331209 -0.01121228270
## workclass_private                         -0.0056210380 -0.01020741583
## workclass_self_emp_inc                     0.0103991638 -0.02933673225
## workclass_self_emp_not_inc                -0.0098938635  0.00989599255
## workclass_state_gov                       -0.0296327788  0.03768526873
## workclass_without_pay                      0.1386806640  0.06140564377
## education_1st_4th                         -0.0049307766  0.02485236943
## education_5th_6th                         -0.0086547120  0.00139158852
## education_7th_8th                         -0.0642855200 -0.04349134015
## education_9th                              0.0079545206 -0.01462966491
## education_10th                             0.0320376321  0.03843586808
## education_11th                             0.0730049660  0.02566928318
## education_12th                             0.0323742786 -0.02738266136
## education_assoc_acdm                       0.0289521106 -0.02820390331
## education_assoc_voc                       -0.0007616325  0.05974057753
## education_bachelors                       -0.0212874456  0.00219156995
## education_doctorate                        0.0053865585 -0.00932306230
## education_hs_grad                         -0.0121195438 -0.00619289843
## education_masters                          0.0082661378  0.01146134906
## education_preschool                        0.0037385352 -0.00289056339
## education_prof_school                     -0.0137044277 -0.03109169824
## education_some_college                    -0.0140587653 -0.01127833236
## marital_status_divorced                    0.0087530025 -0.00154192775
## marital_status_married_af_spouse          -0.0809325328 -0.09713188775
## marital_status_married_civ_spouse          0.0161340226  0.02035730009
## marital_status_married_spouse_absent      -0.0034123167 -0.00342863160
## marital_status_never_married              -0.0089498831 -0.00624867975
## marital_status_separated                  -0.0282979152 -0.02853934889
## marital_status_widowed                     0.0033387653  0.00737790205
## occupation_adm_clerical                   -0.0343729975 -0.00537299999
## occupation_armed_forces                    0.0740824629  0.06565511978
## occupation_craft_repair                   -0.0174827036 -0.04093293426
## occupation_exec_managerial                 0.0026439379 -0.01512362464
## occupation_farming_fishing                 0.0146112378  0.02062828630
## occupation_handlers_cleaners               0.0253590177 -0.02450113539
## occupation_machine_op_inspct               0.0189021119  0.00932049615
## occupation_other_service                  -0.0080924445 -0.00722528451
## occupation_priv_house_serv                -0.0048381579  0.01542198423
## occupation_prof_specialty                 -0.0062236616 -0.00475167616
## occupation_protective_serv                 0.0091864683 -0.00860762598
## occupation_sales                           0.0329229042  0.02355030345
## occupation_tech_support                   -0.0033084103  0.02414265851
## occupation_transport_moving               -0.0182869750  0.04938681582
## relationship_husband                      -0.0006989669  0.01412752652
## relationship_not_in_family                 0.0149702047  0.00064923685
## relationship_other_relative                0.0075140010 -0.01961784951
## relationship_own_child                    -0.0092726566 -0.01007262240
## relationship_unmarried                    -0.0290586571 -0.00443940171
## relationship_wife                          0.0225207884  0.00488335721
## race_amer_indian_eskimo                   -0.0388276492  0.02757114274
## race_asian_pac_islander                    0.0032239937 -0.00323496434
## race_black                                 0.0032394221 -0.00006594016
## race_other                                 0.0040669625 -0.00019260661
## race_white                                 0.0056227377 -0.00609667440
## sex_female                                 0.0028514356  0.01128700419
## sex_male                                  -0.0028514356 -0.01128700419
## native_country_cambodia                    0.1854599971  0.15067271295
## native_country_canada                      0.0459747742 -0.13913802024
## native_country_china                       0.1811928714 -0.23341213046
## native_country_columbia                    0.2159692108 -0.08813478196
## native_country_cuba                       -0.0131366997  0.06423462097
## native_country_dominican_republic         -0.1523609590  0.11535656364
## native_country_ecuador                     0.1723633872 -0.06637889905
## native_country_el_salvador                -0.0203405590  0.11232338620
## native_country_england                    -0.1353025151 -0.05832725351
## native_country_france                      0.2302458403  0.04146624773
## native_country_germany                     0.1087986291 -0.12599440771
## native_country_greece                     -0.1179240692 -0.06388830870
## native_country_guatemala                  -0.0920223690 -0.06780608720
## native_country_haiti                      -0.1211301403 -0.06470690508
## native_country_holand_netherlands          0.0036885457  0.04848163419
## native_country_honduras                    0.2114646590  0.15879059827
## native_country_hong                       -0.1739545545 -0.07690560754
## native_country_hungary                     0.2125783630 -0.07785128452
## native_country_india                      -0.1424214115  0.05503684428
## native_country_iran                       -0.0710577438 -0.05561083695
## native_country_ireland                    -0.0351687941  0.59000041995
## native_country_italy                      -0.1169410261  0.10157080987
## native_country_jamaica                     0.1798824553  0.01446847135
## native_country_japan                       0.2968881864  0.18321451377
## native_country_laos                        0.1704705687  0.05226148391
## native_country_mexico                      0.0106824365 -0.05764833820
## native_country_nicaragua                  -0.0133688653  0.15219800939
## native_country_outlying_us(guam_usvi_etc)  0.1630830223  0.27052530239
## native_country_peru                       -0.2896128892  0.18434183532
## native_country_philippines                -0.0492436479 -0.03914875529
## native_country_poland                     -0.1788854113 -0.13339621229
## native_country_portugal                    0.1333624809 -0.05201175078
## native_country_puerto_rico                 0.0356514271 -0.08434999120
## native_country_scotland                    0.0590536294 -0.18936427794
## native_country_south                      -0.0743457358 -0.09508041109
## native_country_taiwan                     -0.0417820462  0.31115788328
## native_country_thailand                    0.0853043414  0.02969467330
## native_country_trinadad&tobago            -0.1414308047 -0.08871988254
## native_country_united_states              -0.0026151616 -0.00620814891
## native_country_vietnam                    -0.1437047689 -0.07855899413
## native_country_yugoslavia                 -0.3472240248  0.14954941259
##                                                    PC55            PC56
## l_capital_gain                            -0.0291482276 -0.005914031472
## l_capital_loss                             0.0456345638 -0.003474031058
## age                                       -0.0015891406  0.009289804963
## fnlwgt                                    -0.0006224884  0.000628806304
## education_num                              0.0087734038 -0.006202265819
## hours_per_week                            -0.0027083515  0.000736761171
## workclass_federal_gov                      0.0072526303  0.000264900153
## workclass_local_gov                        0.0217059493 -0.037060770173
## workclass_private                          0.0177897497  0.003201307032
## workclass_self_emp_inc                    -0.0125138053 -0.010337692171
## workclass_self_emp_not_inc                -0.0031163940  0.025256598922
## workclass_state_gov                       -0.0575656210  0.022412379984
## workclass_without_pay                      0.0143490863 -0.079238246012
## education_1st_4th                          0.0125870460 -0.049012118207
## education_5th_6th                          0.0017366536  0.007611854826
## education_7th_8th                         -0.0547383915  0.030813752137
## education_9th                             -0.0081078625  0.021458025233
## education_10th                             0.0448630662  0.058377872271
## education_11th                            -0.0526332920 -0.005013149307
## education_12th                             0.0012469849  0.005746818439
## education_assoc_acdm                      -0.0380170782 -0.043833921093
## education_assoc_voc                        0.0423314321 -0.026797559297
## education_bachelors                       -0.0264463412  0.061640236684
## education_doctorate                        0.0034552656  0.046424037582
## education_hs_grad                          0.0308714650  0.000008468447
## education_masters                          0.0255268903 -0.068889951302
## education_preschool                       -0.0053022327 -0.015008394439
## education_prof_school                      0.0052725442  0.024038330256
## education_some_college                    -0.0084514866 -0.035660543081
## marital_status_divorced                   -0.0451334979 -0.005602980581
## marital_status_married_af_spouse           0.1023506509  0.039644216689
## marital_status_married_civ_spouse         -0.0049129609 -0.005481670884
## marital_status_married_spouse_absent      -0.0147434352  0.008214347113
## marital_status_never_married               0.0023223014  0.007557803407
## marital_status_separated                   0.0518615042 -0.030577962073
## marital_status_widowed                     0.0414764988  0.027168876456
## occupation_adm_clerical                   -0.0137871924  0.028184499628
## occupation_armed_forces                    0.1295562989 -0.014456635954
## occupation_craft_repair                    0.0203098940  0.019298127614
## occupation_exec_managerial                -0.0293847258 -0.012801297062
## occupation_farming_fishing                 0.0313397055  0.007757719388
## occupation_handlers_cleaners              -0.0144830677 -0.009981586795
## occupation_machine_op_inspct              -0.0054388271 -0.000513842574
## occupation_other_service                   0.0059268274  0.006080922410
## occupation_priv_house_serv                 0.0097376689  0.007024679963
## occupation_prof_specialty                  0.0019084517  0.014197218388
## occupation_protective_serv                 0.0170741940  0.004313281452
## occupation_sales                           0.0362288607 -0.022627567918
## occupation_tech_support                   -0.0017046040 -0.053943099339
## occupation_transport_moving               -0.0591092839 -0.006601255402
## relationship_husband                       0.0074450849  0.005290684225
## relationship_not_in_family                 0.0035271795 -0.022106744287
## relationship_other_relative               -0.0361308269  0.012241924827
## relationship_own_child                     0.0037515904  0.008751487864
## relationship_unmarried                     0.0052719045  0.018616853460
## relationship_wife                         -0.0095826371 -0.018230202269
## race_amer_indian_eskimo                   -0.0746789421  0.063305392669
## race_asian_pac_islander                    0.0046955476 -0.007881069049
## race_black                                 0.0134540106 -0.001725314439
## race_other                                 0.0103165855  0.000736754408
## race_white                                 0.0048421946 -0.012757372695
## sex_female                                -0.0029495869 -0.000863417069
## sex_male                                   0.0029495869  0.000863417069
## native_country_cambodia                   -0.2170077209  0.097649121707
## native_country_canada                     -0.0553401044 -0.132633804372
## native_country_china                       0.0796655888 -0.119346474558
## native_country_columbia                   -0.2203179397 -0.249472988144
## native_country_cuba                        0.0037909231  0.124555755799
## native_country_dominican_republic          0.1662960911  0.185952176951
## native_country_ecuador                     0.0652645893 -0.098139311357
## native_country_el_salvador                -0.0933201713  0.126852578086
## native_country_england                    -0.1685428440 -0.005319141143
## native_country_france                      0.2699509906  0.370460512843
## native_country_germany                     0.1939370704  0.047881257808
## native_country_greece                     -0.0101254698  0.193205495215
## native_country_guatemala                  -0.0103123912 -0.120576565262
## native_country_haiti                       0.0662765263 -0.304086334762
## native_country_holand_netherlands          0.0603885954  0.069673322404
## native_country_honduras                    0.1242836820 -0.011310478432
## native_country_hong                        0.1375811099  0.214872349817
## native_country_hungary                     0.0203490452 -0.085477867788
## native_country_india                       0.0403204342  0.033416118250
## native_country_iran                       -0.1670964885  0.101867033970
## native_country_ireland                    -0.1445379109 -0.130450448901
## native_country_italy                      -0.0309485205 -0.136952775640
## native_country_jamaica                    -0.0721253574  0.010015539869
## native_country_japan                      -0.0611444324  0.156861478966
## native_country_laos                       -0.1326278588  0.089490883891
## native_country_mexico                      0.0183182869 -0.017746563566
## native_country_nicaragua                  -0.0993955650  0.102583538910
## native_country_outlying_us(guam_usvi_etc)  0.4027552643  0.067707766361
## native_country_peru                       -0.2861468467  0.052072794679
## native_country_philippines                -0.0161108972 -0.019570406686
## native_country_poland                     -0.0028503234  0.193956023295
## native_country_portugal                   -0.1185789844 -0.137432980093
## native_country_puerto_rico                 0.0855898179 -0.162879609830
## native_country_scotland                    0.0963616004  0.152876368840
## native_country_south                      -0.0229824659 -0.214361418728
## native_country_taiwan                      0.0394705627 -0.161025380900
## native_country_thailand                   -0.0555203158  0.129835660644
## native_country_trinadad&tobago            -0.2219517006  0.290971006526
## native_country_united_states              -0.0012030480  0.003074581616
## native_country_vietnam                     0.0915871942  0.060915233647
## native_country_yugoslavia                  0.4193486668 -0.223153953352
##                                                    PC57          PC58
## l_capital_gain                            -0.0726295676 -0.0315690681
## l_capital_loss                             0.0493558720  0.0679726467
## age                                        0.0019096619  0.0008811555
## fnlwgt                                     0.0306252936 -0.0318908425
## education_num                              0.0038437933  0.0075723971
## hours_per_week                             0.0010041692  0.0023007789
## workclass_federal_gov                     -0.0049228098 -0.0049784250
## workclass_local_gov                       -0.0006984651  0.0134608882
## workclass_private                         -0.0016772187  0.0060853993
## workclass_self_emp_inc                    -0.0193383210  0.0456189723
## workclass_self_emp_not_inc                 0.0160991920 -0.0170180888
## workclass_state_gov                       -0.0014133319 -0.0583912227
## workclass_without_pay                      0.0563452738  0.1302833433
## education_1st_4th                          0.0314904727 -0.0112789576
## education_5th_6th                          0.0047403651 -0.0026308160
## education_7th_8th                          0.0889284914 -0.0175519325
## education_9th                             -0.0574136093 -0.0066597402
## education_10th                            -0.0327674493  0.1370894252
## education_11th                             0.0259220934 -0.1242092631
## education_12th                            -0.0721360254  0.0016930257
## education_assoc_acdm                       0.0638342605  0.1143223229
## education_assoc_voc                       -0.0420123282  0.0062940346
## education_bachelors                        0.0166686914 -0.0002673657
## education_doctorate                       -0.0343064508  0.0136035087
## education_hs_grad                         -0.0167009024 -0.0019484061
## education_masters                         -0.0329951478 -0.0320476971
## education_preschool                       -0.0295986730  0.0284142078
## education_prof_school                      0.0695067578  0.0014034963
## education_some_college                     0.0075291171 -0.0275435806
## marital_status_divorced                    0.0491549453 -0.0250437754
## marital_status_married_af_spouse          -0.2590789763 -0.0012421586
## marital_status_married_civ_spouse          0.0246897594 -0.0033986459
## marital_status_married_spouse_absent      -0.0302958375  0.0292347445
## marital_status_never_married               0.0103686169  0.0035675745
## marital_status_separated                  -0.1038280609  0.0602811812
## marital_status_widowed                    -0.0356965560 -0.0299434614
## occupation_adm_clerical                   -0.0045868511  0.0173722572
## occupation_armed_forces                    0.0246802894 -0.1237803874
## occupation_craft_repair                    0.0127690330  0.0209801728
## occupation_exec_managerial                -0.0411786339  0.0044138706
## occupation_farming_fishing                -0.0305095722  0.0136568136
## occupation_handlers_cleaners              -0.0374471833  0.0994994892
## occupation_machine_op_inspct              -0.0131847902 -0.0618741993
## occupation_other_service                   0.0330251564 -0.0219047460
## occupation_priv_house_serv                -0.0013443962 -0.0129286887
## occupation_prof_specialty                  0.0543362463 -0.0026586354
## occupation_protective_serv                -0.0554562888 -0.0151011480
## occupation_sales                          -0.0058921739 -0.0056526163
## occupation_tech_support                   -0.0110002490  0.0197697528
## occupation_transport_moving                0.0477460015 -0.0488332466
## relationship_husband                       0.0041902430 -0.0155378117
## relationship_not_in_family                 0.0185705006  0.0130292054
## relationship_other_relative                0.0147614581 -0.0011870563
## relationship_own_child                    -0.0147186039 -0.0040754794
## relationship_unmarried                    -0.0312207256 -0.0079549269
## relationship_wife                          0.0100172733  0.0287342527
## race_amer_indian_eskimo                    0.0120311111  0.1462357810
## race_asian_pac_islander                   -0.0054082051 -0.0113160114
## race_black                                 0.0045678088 -0.0219420796
## race_other                                 0.0094628678  0.0182690563
## race_white                                -0.0070150443 -0.0219211012
## sex_female                                 0.0099231232 -0.0065362090
## sex_male                                  -0.0099231232  0.0065362090
## native_country_cambodia                   -0.0103430479  0.2760496042
## native_country_canada                     -0.2392870451  0.0620375211
## native_country_china                       0.0322633931  0.1905311327
## native_country_columbia                    0.1604781004 -0.2864112072
## native_country_cuba                       -0.0425195665  0.1748564135
## native_country_dominican_republic          0.0323703030  0.0077964857
## native_country_ecuador                     0.1210123756 -0.1247419794
## native_country_el_salvador                 0.0284109922  0.0526183225
## native_country_england                     0.0806181613 -0.0256620777
## native_country_france                     -0.1667644445 -0.1089587412
## native_country_germany                     0.0545971304  0.0066381237
## native_country_greece                      0.2375443151 -0.1484265462
## native_country_guatemala                  -0.0911256435  0.0636554109
## native_country_haiti                      -0.0223395215 -0.0295458266
## native_country_holand_netherlands         -0.3784258893 -0.0280978549
## native_country_honduras                    0.1816970060 -0.0868251408
## native_country_hong                       -0.0133910179 -0.4743259507
## native_country_hungary                    -0.3590875125  0.0457646080
## native_country_india                      -0.2714495662  0.0790248232
## native_country_iran                       -0.1858377496 -0.1397149104
## native_country_ireland                    -0.0352733025 -0.0646252700
## native_country_italy                      -0.1822770511  0.0224665038
## native_country_jamaica                     0.0267274078 -0.1325180833
## native_country_japan                      -0.0449583355  0.0499908331
## native_country_laos                        0.0300613359  0.0463547610
## native_country_mexico                     -0.0044906150 -0.0468681866
## native_country_nicaragua                   0.1902140540  0.2151579593
## native_country_outlying_us(guam_usvi_etc)  0.0502304816 -0.0480757706
## native_country_peru                       -0.1034523114 -0.0812565344
## native_country_philippines                 0.0259180298 -0.1729821733
## native_country_poland                      0.2303124844  0.0496906478
## native_country_portugal                    0.0207401648 -0.0769645023
## native_country_puerto_rico                -0.0296942520  0.1873444589
## native_country_scotland                    0.2189008432  0.2707197816
## native_country_south                       0.1271266480 -0.0249509520
## native_country_taiwan                      0.1403630674  0.0440361415
## native_country_thailand                    0.0080178710 -0.1131667959
## native_country_trinadad&tobago             0.0134522917  0.1924850157
## native_country_united_states               0.0034510689  0.0013592123
## native_country_vietnam                    -0.0087227442  0.0482543297
## native_country_yugoslavia                  0.0921452985  0.1482057665
##                                                    PC59          PC60
## l_capital_gain                            -0.0279879380  0.0410187165
## l_capital_loss                             0.0819392940  0.0003196531
## age                                        0.0239219465  0.0098552548
## fnlwgt                                     0.0464237938 -0.0305177481
## education_num                             -0.0036589630 -0.0042323915
## hours_per_week                            -0.0197207546  0.0227962964
## workclass_federal_gov                      0.0082863309  0.0113220793
## workclass_local_gov                       -0.0259695003  0.0376756654
## workclass_private                         -0.0004864392  0.0346926523
## workclass_self_emp_inc                     0.0015759558 -0.0295424447
## workclass_self_emp_not_inc                -0.0029790111 -0.0016131798
## workclass_state_gov                        0.0147593616 -0.0751735277
## workclass_without_pay                      0.1334037491 -0.2568262184
## education_1st_4th                          0.0535236642 -0.1136541235
## education_5th_6th                         -0.0092021507  0.0030334889
## education_7th_8th                          0.0078133388  0.1231215731
## education_9th                             -0.0805544209  0.0937030604
## education_10th                            -0.0059825384 -0.0081741899
## education_11th                             0.0301802939 -0.1875258205
## education_12th                            -0.0349451970  0.0840627204
## education_assoc_acdm                      -0.0137610655  0.0266714811
## education_assoc_voc                        0.0191662440  0.0623827086
## education_bachelors                       -0.0404384072 -0.0282943454
## education_doctorate                        0.0043558199  0.0592539882
## education_hs_grad                          0.0107287097 -0.0112468962
## education_masters                          0.0023490128 -0.0511115227
## education_preschool                       -0.0080303433  0.0354719492
## education_prof_school                      0.0308795823  0.0265663552
## education_some_college                     0.0219917945  0.0127370887
## marital_status_divorced                   -0.0598886073 -0.0681475902
## marital_status_married_af_spouse           0.0692629413 -0.0293688654
## marital_status_married_civ_spouse         -0.0001774040 -0.0060339644
## marital_status_married_spouse_absent      -0.0314986076  0.0104788439
## marital_status_never_married               0.0083452428  0.0173379676
## marital_status_separated                   0.0121492633  0.0153855337
## marital_status_widowed                     0.0991524815  0.0932776261
## occupation_adm_clerical                   -0.0307591692  0.0629496150
## occupation_armed_forces                   -0.0855376370  0.0083275845
## occupation_craft_repair                   -0.0074276536 -0.0654027273
## occupation_exec_managerial                 0.0917230338 -0.0492015375
## occupation_farming_fishing                -0.0350900085  0.0116592566
## occupation_handlers_cleaners               0.1058746248  0.2268382364
## occupation_machine_op_inspct              -0.0035841922 -0.1164923664
## occupation_other_service                   0.0307556007 -0.0773821163
## occupation_priv_house_serv                -0.0215282838 -0.0249931942
## occupation_prof_specialty                 -0.0041480944  0.0264984482
## occupation_protective_serv                -0.0245515446  0.0589568699
## occupation_sales                          -0.1269017423 -0.0202030170
## occupation_tech_support                    0.0276852339  0.0475881430
## occupation_transport_moving                0.0069940891  0.0184795253
## relationship_husband                      -0.0055270708 -0.0082100886
## relationship_not_in_family                 0.0303396664 -0.0452649236
## relationship_other_relative               -0.0236540358  0.0444595062
## relationship_own_child                    -0.0160226792  0.0066387392
## relationship_unmarried                    -0.0213600735  0.0432033649
## relationship_wife                          0.0271228613  0.0031536258
## race_amer_indian_eskimo                   -0.0797917489 -0.1271190508
## race_asian_pac_islander                    0.0074091553  0.0169903999
## race_black                                 0.0188565335 -0.0032466658
## race_other                                 0.0139728172  0.0112195339
## race_white                                -0.0004921701  0.0274668854
## sex_female                                -0.0060948035 -0.0026355598
## sex_male                                   0.0060948035  0.0026355598
## native_country_cambodia                    0.0729353900  0.0444085557
## native_country_canada                      0.1476421897 -0.0257106476
## native_country_china                      -0.2585453493  0.0551990416
## native_country_columbia                    0.0321143399 -0.1183844679
## native_country_cuba                        0.0247802409 -0.1800243120
## native_country_dominican_republic          0.0416801142  0.1286458971
## native_country_ecuador                     0.1006597214 -0.0953997091
## native_country_el_salvador                 0.1450991735  0.0229931167
## native_country_england                    -0.1687973863  0.1234586714
## native_country_france                      0.1666114451 -0.0462624366
## native_country_germany                     0.3125637890 -0.1639398579
## native_country_greece                     -0.3153922756  0.1125839796
## native_country_guatemala                   0.0079356910 -0.0770370749
## native_country_haiti                      -0.0057271720  0.0016306988
## native_country_holand_netherlands         -0.1244737058  0.0326118871
## native_country_honduras                    0.0474152695  0.3141271868
## native_country_hong                       -0.0133443193  0.0236026061
## native_country_hungary                    -0.2810295993  0.1212797571
## native_country_india                       0.0533846843 -0.0758410887
## native_country_iran                        0.0907287988  0.1597583900
## native_country_ireland                     0.1412629134  0.1707318828
## native_country_italy                      -0.1142084416 -0.1705604216
## native_country_jamaica                    -0.0674955905  0.0511864725
## native_country_japan                      -0.1072889384  0.1918995375
## native_country_laos                        0.1363158565  0.0181687660
## native_country_mexico                     -0.0293762937  0.0092887982
## native_country_nicaragua                  -0.2294401322 -0.2808043005
## native_country_outlying_us(guam_usvi_etc) -0.0929050464 -0.2296475451
## native_country_peru                        0.0159951140 -0.0198024876
## native_country_philippines                -0.1061464256 -0.1373769901
## native_country_poland                     -0.0817918370 -0.0977729099
## native_country_portugal                   -0.0730786638  0.0259362692
## native_country_puerto_rico                -0.1355042369  0.0688526039
## native_country_scotland                    0.0833001127  0.2528174630
## native_country_south                       0.3877355192  0.1795404821
## native_country_taiwan                     -0.0909815661 -0.0433020809
## native_country_thailand                   -0.1537424239  0.1005937185
## native_country_trinadad&tobago             0.0738799367 -0.0373972304
## native_country_united_states               0.0103947799  0.0094094683
## native_country_vietnam                     0.1316379699 -0.0723136396
## native_country_yugoslavia                 -0.0610344171  0.1854456028
##                                                     PC61           PC62
## l_capital_gain                             0.08928812883  0.09508829424
## l_capital_loss                            -0.11796075279 -0.12194063750
## age                                       -0.02762895137  0.02571605144
## fnlwgt                                     0.05714037608  0.02830824952
## education_num                             -0.01284341246 -0.00176609572
## hours_per_week                             0.01622470800 -0.01275914331
## workclass_federal_gov                      0.00758135345 -0.00356219649
## workclass_local_gov                       -0.02548238585  0.00198199593
## workclass_private                         -0.02149757922  0.02937985865
## workclass_self_emp_inc                     0.03127341626 -0.02588888273
## workclass_self_emp_not_inc                -0.04944439265  0.00259346891
## workclass_state_gov                        0.08628235330 -0.05488022442
## workclass_without_pay                      0.22921069431  0.11330722132
## education_1st_4th                         -0.00836771486 -0.02751191958
## education_5th_6th                          0.02053332000 -0.01545002677
## education_7th_8th                         -0.01222146508 -0.02041804693
## education_9th                             -0.00074019390  0.05415199818
## education_10th                             0.11685167805  0.04393948422
## education_11th                            -0.00222208597 -0.01018929763
## education_12th                            -0.02803644965  0.01255643824
## education_assoc_acdm                       0.12729979175 -0.11941413687
## education_assoc_voc                       -0.02923903894  0.10322109736
## education_bachelors                       -0.01378775491  0.02675292121
## education_doctorate                       -0.00440077243  0.00570181413
## education_hs_grad                         -0.02293879124 -0.00840955891
## education_masters                         -0.02710987823  0.04081478879
## education_preschool                       -0.06403007607 -0.01392471547
## education_prof_school                      0.00690495985 -0.07147521007
## education_some_college                    -0.01878719137 -0.03080478498
## marital_status_divorced                   -0.02200695676 -0.00015615195
## marital_status_married_af_spouse          -0.30644445868 -0.21441287123
## marital_status_married_civ_spouse          0.02506214788  0.01377401541
## marital_status_married_spouse_absent      -0.00261351886  0.04667856775
## marital_status_never_married               0.00827570847  0.01466714739
## marital_status_separated                   0.05576629427 -0.07193323784
## marital_status_widowed                    -0.06043688579 -0.00357232088
## occupation_adm_clerical                    0.01702250476  0.08330373427
## occupation_armed_forces                   -0.01706912254 -0.00901762583
## occupation_craft_repair                    0.05060779282  0.09506406060
## occupation_exec_managerial                -0.03727082478 -0.00045433704
## occupation_farming_fishing                -0.07765816554  0.03232975132
## occupation_handlers_cleaners              -0.13966522502 -0.06606457828
## occupation_machine_op_inspct               0.05991572437 -0.07135895085
## occupation_other_service                   0.02106987651 -0.00005783868
## occupation_priv_house_serv                -0.01541251127 -0.01545813777
## occupation_prof_specialty                  0.02489763181 -0.03588796365
## occupation_protective_serv                -0.01995183992 -0.00095793304
## occupation_sales                          -0.04822512957 -0.01451543907
## occupation_tech_support                    0.01381792699 -0.04911936025
## occupation_transport_moving                0.09278215595 -0.03139308797
## relationship_husband                      -0.00394431987 -0.00919589967
## relationship_not_in_family                -0.00003401985  0.06040491117
## relationship_other_relative               -0.00014320845  0.04881805651
## relationship_own_child                     0.00251340893 -0.02753263685
## relationship_unmarried                    -0.01423605817 -0.08602937660
## relationship_wife                          0.02605947761  0.02844567904
## race_amer_indian_eskimo                   -0.01059080019  0.03369907726
## race_asian_pac_islander                    0.00545561630 -0.00142562237
## race_black                                -0.00336500486 -0.00334961851
## race_other                                -0.01287415917  0.01805016514
## race_white                                 0.00644262269 -0.01056812706
## sex_female                                 0.02026878057 -0.00067880740
## sex_male                                  -0.02026878057  0.00067880740
## native_country_cambodia                    0.09193277450 -0.21558827975
## native_country_canada                      0.03883238598 -0.00577192714
## native_country_china                      -0.05559506498  0.04605739228
## native_country_columbia                   -0.16418200370  0.09335014309
## native_country_cuba                       -0.02917427685  0.11934091393
## native_country_dominican_republic          0.06944573454  0.00310468886
## native_country_ecuador                    -0.09820113525 -0.26326258906
## native_country_el_salvador                -0.14838428520 -0.02559448969
## native_country_england                     0.16099076022 -0.01696777884
## native_country_france                      0.10201814549  0.11171387198
## native_country_germany                    -0.14032587788 -0.01230438257
## native_country_greece                      0.13357774330 -0.10495071050
## native_country_guatemala                   0.09674577565 -0.03801375103
## native_country_haiti                       0.06954794221  0.10391800157
## native_country_holand_netherlands          0.17997390141  0.29013326588
## native_country_honduras                   -0.10785028186  0.40543013360
## native_country_hong                       -0.02156610121 -0.09421371285
## native_country_hungary                     0.07013614576 -0.26632370136
## native_country_india                      -0.05048169066  0.09827968736
## native_country_iran                        0.07589041289  0.12113364729
## native_country_ireland                     0.12106947377 -0.26424736600
## native_country_italy                      -0.09537928704  0.03409806878
## native_country_jamaica                    -0.16489718198 -0.04559475324
## native_country_japan                       0.00736572154 -0.17519670810
## native_country_laos                       -0.19970794089 -0.03689457482
## native_country_mexico                      0.09903079336 -0.04303495489
## native_country_nicaragua                  -0.01280980468  0.13984937329
## native_country_outlying_us(guam_usvi_etc)  0.17105398045 -0.04433062803
## native_country_peru                       -0.12156719508  0.19894895882
## native_country_philippines                 0.02552388019  0.02716117251
## native_country_poland                      0.14471195677 -0.21884294088
## native_country_portugal                   -0.15712550906  0.06486510187
## native_country_puerto_rico                 0.03930568526  0.02286363133
## native_country_scotland                   -0.03186137659  0.15916025344
## native_country_south                       0.42158122451  0.03596998548
## native_country_taiwan                     -0.17436544970  0.11273185214
## native_country_thailand                   -0.08013439487  0.07002639647
## native_country_trinadad&tobago            -0.14443249583  0.01019912804
## native_country_united_states               0.00299541978  0.00529346782
## native_country_vietnam                    -0.15076173327 -0.11090805135
## native_country_yugoslavia                 -0.21339151610 -0.07883964432
##                                                     PC63          PC64
## l_capital_gain                             0.02927239986  0.0549134309
## l_capital_loss                            -0.02572811375 -0.0816082222
## age                                        0.00696818179 -0.0101746232
## fnlwgt                                    -0.04081970361  0.0329693633
## education_num                             -0.01576283219  0.0212325366
## hours_per_week                            -0.00309772553  0.0129580112
## workclass_federal_gov                      0.02698087140 -0.0101814377
## workclass_local_gov                        0.03716811034  0.0025490207
## workclass_private                         -0.03711643387  0.0177506385
## workclass_self_emp_inc                     0.06634614974 -0.0657151262
## workclass_self_emp_not_inc                 0.05538707099 -0.0039047350
## workclass_state_gov                       -0.07132092514  0.0311260353
## workclass_without_pay                     -0.51221249302  0.0174973150
## education_1st_4th                          0.06573786973  0.0387024092
## education_5th_6th                         -0.04175864212  0.0185909126
## education_7th_8th                         -0.11914718966  0.2293875135
## education_9th                             -0.03943796215 -0.1318468292
## education_10th                             0.01581318127 -0.2361166734
## education_11th                             0.12303851003  0.0939731855
## education_12th                            -0.06048103611  0.0432235522
## education_assoc_acdm                       0.11701459673  0.2061501938
## education_assoc_voc                       -0.04324842821 -0.0712922610
## education_bachelors                       -0.06375427720  0.0122043389
## education_doctorate                       -0.01456545157 -0.0081312309
## education_hs_grad                          0.04396928935 -0.0279890317
## education_masters                         -0.00127585575  0.0514516894
## education_preschool                        0.08919192322 -0.0531207418
## education_prof_school                      0.02272817275 -0.0698031495
## education_some_college                    -0.02912898514 -0.0406377013
## marital_status_divorced                   -0.06293643110 -0.0907948927
## marital_status_married_af_spouse          -0.26494008662  0.2654123697
## marital_status_married_civ_spouse          0.01828954686 -0.0302796178
## marital_status_married_spouse_absent       0.00021688624 -0.0066522367
## marital_status_never_married              -0.00028057660  0.0226959168
## marital_status_separated                   0.11059875191  0.1218126119
## marital_status_widowed                     0.00355770502  0.0508291520
## occupation_adm_clerical                    0.05104056489  0.0326068225
## occupation_armed_forces                   -0.16502318704 -0.0199195065
## occupation_craft_repair                   -0.02760775322  0.0872495037
## occupation_exec_managerial                 0.01639262189  0.0102481173
## occupation_farming_fishing                 0.01566637587 -0.0364539872
## occupation_handlers_cleaners               0.07201801638 -0.1203316515
## occupation_machine_op_inspct              -0.03068535773 -0.1179986368
## occupation_other_service                   0.00040522809 -0.0120527796
## occupation_priv_house_serv                -0.02766612524 -0.0227699607
## occupation_prof_specialty                 -0.03565601856 -0.0035889395
## occupation_protective_serv                -0.04206214908 -0.0373616107
## occupation_sales                          -0.03771591255  0.0242366247
## occupation_tech_support                    0.06958786111 -0.0626530909
## occupation_transport_moving                0.00002920756  0.1466427875
## relationship_husband                      -0.00064211850 -0.0022072731
## relationship_not_in_family                 0.02645665589 -0.0254864739
## relationship_other_relative                0.00035880867  0.0384411288
## relationship_own_child                    -0.00154312303  0.0003197263
## relationship_unmarried                    -0.04454809371  0.0447104001
## relationship_wife                          0.01390700105 -0.0388592426
## race_amer_indian_eskimo                   -0.04670673090  0.1000322744
## race_asian_pac_islander                    0.01535797906 -0.0045820378
## race_black                                -0.01803164937 -0.0009591361
## race_other                                 0.00571961598 -0.0280715016
## race_white                                 0.01942770408 -0.0180192602
## sex_female                                 0.01672985484 -0.0111693233
## sex_male                                  -0.01672985484  0.0111693233
## native_country_cambodia                    0.08321556297 -0.0683356898
## native_country_canada                      0.09024223093  0.1458925855
## native_country_china                       0.13146616533  0.0703321518
## native_country_columbia                   -0.04132116357  0.1520047422
## native_country_cuba                        0.01516675702 -0.0424033250
## native_country_dominican_republic          0.12144779902  0.0610962152
## native_country_ecuador                     0.17500399015  0.0404239044
## native_country_el_salvador                -0.18397892116  0.0173022169
## native_country_england                     0.03840529771  0.1065359945
## native_country_france                      0.04018675107 -0.0503576135
## native_country_germany                     0.05853139725 -0.0151144057
## native_country_greece                     -0.16837850126  0.2107593781
## native_country_guatemala                   0.13407529319 -0.0986081048
## native_country_haiti                      -0.01050116253  0.1130807064
## native_country_holand_netherlands          0.09282102406  0.2155237419
## native_country_honduras                   -0.00991815700  0.0948112863
## native_country_hong                       -0.08503639200 -0.1511738028
## native_country_hungary                    -0.13347395382 -0.0372013136
## native_country_india                      -0.14580483855  0.0541091096
## native_country_iran                        0.00826462413 -0.1670283483
## native_country_ireland                    -0.03992320120  0.0242039254
## native_country_italy                      -0.01932205869 -0.1965708422
## native_country_jamaica                    -0.04241621775 -0.3540685201
## native_country_japan                      -0.02023157801  0.1271295337
## native_country_laos                        0.00710535679  0.1369988916
## native_country_mexico                      0.02684398074  0.0611715157
## native_country_nicaragua                  -0.15673545145 -0.0230203715
## native_country_outlying_us(guam_usvi_etc)  0.12690221224  0.1572062383
## native_country_peru                        0.07003387601  0.0050254461
## native_country_philippines                 0.22569353897 -0.0789418487
## native_country_poland                      0.03311181819 -0.1157445844
## native_country_portugal                   -0.09101202612  0.0925567904
## native_country_puerto_rico                -0.16590113011 -0.2228826756
## native_country_scotland                   -0.02817613361 -0.0495061573
## native_country_south                      -0.14543522684 -0.0452114675
## native_country_taiwan                      0.14114460949 -0.0444425849
## native_country_thailand                   -0.17836443923 -0.0972391031
## native_country_trinadad&tobago             0.14505659858  0.1489706259
## native_country_united_states               0.00488488866  0.0061668934
## native_country_vietnam                    -0.22481335907  0.0575615261
## native_country_yugoslavia                 -0.01734166375  0.0332401642
##                                                   PC65          PC66
## l_capital_gain                             0.071453624  0.0037798126
## l_capital_loss                             0.005369578 -0.0181027807
## age                                        0.009118450  0.0389574391
## fnlwgt                                     0.032183444  0.0541338655
## education_num                              0.005618798 -0.0138109493
## hours_per_week                             0.016567690 -0.0264313047
## workclass_federal_gov                      0.032772255  0.0749819067
## workclass_local_gov                        0.040022692 -0.0530737596
## workclass_private                         -0.009366127 -0.0361639149
## workclass_self_emp_inc                     0.129689292 -0.0603555242
## workclass_self_emp_not_inc                -0.083484130  0.0615914340
## workclass_state_gov                       -0.080431915  0.0458791535
## workclass_without_pay                      0.162859003  0.0576330084
## education_1st_4th                          0.130179493  0.0364074252
## education_5th_6th                         -0.040337921  0.0001764529
## education_7th_8th                         -0.114580182 -0.0888044928
## education_9th                             -0.172171368  0.0142267691
## education_10th                             0.102058953  0.0735706784
## education_11th                             0.106905135  0.1911760646
## education_12th                            -0.004639890 -0.2359584391
## education_assoc_acdm                      -0.115471644 -0.0243306081
## education_assoc_voc                        0.206758577  0.1181707830
## education_bachelors                       -0.007426307 -0.0270064588
## education_doctorate                        0.052748207  0.0388943814
## education_hs_grad                         -0.035935472 -0.0546643341
## education_masters                         -0.051214760  0.0834499397
## education_preschool                        0.076955750  0.0393916008
## education_prof_school                      0.028201873 -0.1141595549
## education_some_college                    -0.017633434 -0.0178391394
## marital_status_divorced                    0.039862374  0.0142754980
## marital_status_married_af_spouse           0.153784200  0.0184815955
## marital_status_married_civ_spouse         -0.020471355  0.0029498590
## marital_status_married_spouse_absent       0.039799578 -0.0810648051
## marital_status_never_married               0.005374022 -0.0020547492
## marital_status_separated                  -0.121867870  0.0519060849
## marital_status_widowed                     0.040004523 -0.0366276303
## occupation_adm_clerical                    0.083560908  0.0954313155
## occupation_armed_forces                   -0.072457167 -0.1613820700
## occupation_craft_repair                   -0.021354327 -0.0137339767
## occupation_exec_managerial                -0.041763120 -0.0578582916
## occupation_farming_fishing                 0.013740385 -0.0271138855
## occupation_handlers_cleaners              -0.055583346  0.1477959863
## occupation_machine_op_inspct              -0.089950521  0.1040770722
## occupation_other_service                   0.013545419 -0.1897535029
## occupation_priv_house_serv                -0.007800138  0.0366002536
## occupation_prof_specialty                  0.011592107  0.0283697751
## occupation_protective_serv                -0.006837640 -0.0357906560
## occupation_sales                           0.017132624  0.0896375680
## occupation_tech_support                   -0.064098479 -0.1046714986
## occupation_transport_moving                0.116737985 -0.0691255752
## relationship_husband                       0.009939577  0.0049625619
## relationship_not_in_family                -0.021673754  0.0590496847
## relationship_other_relative               -0.031970150 -0.0941694384
## relationship_own_child                     0.027187463  0.0134540078
## relationship_unmarried                     0.036374202 -0.0557341868
## relationship_wife                         -0.051278370  0.0005058197
## race_amer_indian_eskimo                   -0.067933783 -0.0406475594
## race_asian_pac_islander                   -0.001661477 -0.0047257150
## race_black                                 0.006534919  0.0545310889
## race_other                                 0.018023240  0.0094327486
## race_white                                 0.009864087 -0.0344597231
## sex_female                                -0.014986285 -0.0140105429
## sex_male                                   0.014986285  0.0140105429
## native_country_cambodia                   -0.065723704 -0.0001912614
## native_country_canada                     -0.176050300  0.0150916721
## native_country_china                       0.188731582  0.1046566925
## native_country_columbia                    0.114822408  0.1372698451
## native_country_cuba                       -0.161764252  0.1228169710
## native_country_dominican_republic         -0.107303253  0.1338757778
## native_country_ecuador                     0.084392967  0.1570514615
## native_country_el_salvador                -0.035582352  0.3043018599
## native_country_england                     0.034021263 -0.0349956882
## native_country_france                      0.027707954  0.0918972295
## native_country_germany                    -0.251019890 -0.0629632424
## native_country_greece                     -0.217611902  0.1250740543
## native_country_guatemala                   0.042165714 -0.1440679702
## native_country_haiti                      -0.080452736  0.0266338362
## native_country_holand_netherlands          0.139815851  0.0920368965
## native_country_honduras                   -0.057693873 -0.0968198243
## native_country_hong                        0.213558653 -0.1147289785
## native_country_hungary                     0.033009292  0.0436845053
## native_country_india                      -0.179520022 -0.2109863678
## native_country_iran                        0.065238143 -0.1579732335
## native_country_ireland                     0.119015169 -0.0066746641
## native_country_italy                       0.088092411  0.1877660220
## native_country_jamaica                     0.022449821 -0.1443285304
## native_country_japan                       0.017951179 -0.0020565602
## native_country_laos                        0.066980470 -0.1483192422
## native_country_mexico                      0.007847830 -0.1215936618
## native_country_nicaragua                   0.040871085 -0.1156182496
## native_country_outlying_us(guam_usvi_etc)  0.190140367 -0.1328476954
## native_country_peru                        0.087558201  0.0554817794
## native_country_philippines                -0.046358359  0.0870311834
## native_country_poland                      0.080163196 -0.0429426562
## native_country_portugal                    0.122031864 -0.1587289135
## native_country_puerto_rico                 0.053901924 -0.0572843456
## native_country_scotland                    0.202015040  0.0370361354
## native_country_south                       0.103645162  0.0929725504
## native_country_taiwan                     -0.117827263 -0.1257676958
## native_country_thailand                   -0.166027728  0.3352983153
## native_country_trinadad&tobago             0.335771963 -0.0258045467
## native_country_united_states              -0.009048553 -0.0097779837
## native_country_vietnam                    -0.032812742 -0.0512470942
## native_country_yugoslavia                  0.134820477  0.1207405215
##                                                   PC67         PC68
## l_capital_gain                            -0.011249219 -0.051262914
## l_capital_loss                            -0.015237158  0.049275241
## age                                        0.044181961  0.005231835
## fnlwgt                                    -0.098993785 -0.055926675
## education_num                              0.035044427  0.015654058
## hours_per_week                            -0.029957784  0.031036903
## workclass_federal_gov                     -0.009543549  0.029684566
## workclass_local_gov                       -0.071496639  0.003669544
## workclass_private                         -0.013598449  0.027314671
## workclass_self_emp_inc                    -0.026599831  0.042952830
## workclass_self_emp_not_inc                -0.004896203 -0.032435711
## workclass_state_gov                        0.149238096 -0.066621512
## workclass_without_pay                      0.082047770 -0.169061601
## education_1st_4th                          0.127309662 -0.090302193
## education_5th_6th                         -0.026803695  0.053423068
## education_7th_8th                         -0.359387590 -0.007548953
## education_9th                              0.219719778  0.023462850
## education_10th                            -0.034711108 -0.005057218
## education_11th                             0.024133252 -0.034975037
## education_12th                             0.239919119  0.122542451
## education_assoc_acdm                       0.096394852  0.154239895
## education_assoc_voc                        0.025824476  0.091178565
## education_bachelors                       -0.085516916 -0.049275459
## education_doctorate                        0.043284442  0.011873128
## education_hs_grad                         -0.033591078 -0.049033318
## education_masters                          0.102335042  0.009518377
## education_preschool                       -0.011391705  0.069197505
## education_prof_school                     -0.082892285  0.009278576
## education_some_college                    -0.005818218 -0.047286498
## marital_status_divorced                   -0.078577523 -0.043034656
## marital_status_married_af_spouse           0.043093910  0.238247868
## marital_status_married_civ_spouse         -0.001739564 -0.022784111
## marital_status_married_spouse_absent      -0.002122174 -0.052839703
## marital_status_never_married              -0.010207798  0.054463319
## marital_status_separated                   0.096801299 -0.116425810
## marital_status_widowed                     0.091161278  0.123802181
## occupation_adm_clerical                    0.009511510  0.116321847
## occupation_armed_forces                   -0.077727893 -0.130562087
## occupation_craft_repair                   -0.012957170 -0.008178460
## occupation_exec_managerial                -0.045964219  0.050641841
## occupation_farming_fishing                -0.004721878  0.087480012
## occupation_handlers_cleaners               0.012699878 -0.234113216
## occupation_machine_op_inspct              -0.011138968  0.242230123
## occupation_other_service                   0.002117008 -0.063264912
## occupation_priv_house_serv                 0.015537639  0.099230056
## occupation_prof_specialty                  0.024997996 -0.005174177
## occupation_protective_serv                -0.080372519  0.036984202
## occupation_sales                           0.065935250 -0.085790479
## occupation_tech_support                   -0.090516303 -0.174283338
## occupation_transport_moving                0.068085403 -0.045856685
## relationship_husband                       0.012932212  0.031372745
## relationship_not_in_family                 0.065007932 -0.030040577
## relationship_other_relative               -0.007120427 -0.075513556
## relationship_own_child                    -0.047728829  0.065955080
## relationship_unmarried                    -0.036618791  0.020987278
## relationship_wife                         -0.026100607 -0.091541770
## race_amer_indian_eskimo                    0.029609716  0.045051113
## race_asian_pac_islander                   -0.003059096 -0.003376096
## race_black                                -0.025828749  0.004665260
## race_other                                -0.011077302  0.010136349
## race_white                                 0.017639874 -0.017543980
## sex_female                                -0.022984520 -0.018585048
## sex_male                                   0.022984520  0.018585048
## native_country_cambodia                    0.006003883 -0.091374687
## native_country_canada                     -0.019506103  0.056716654
## native_country_china                      -0.145120202  0.092433660
## native_country_columbia                   -0.173334427 -0.090250032
## native_country_cuba                       -0.027325585 -0.027034797
## native_country_dominican_republic         -0.022670794 -0.100847959
## native_country_ecuador                    -0.012627227 -0.006769208
## native_country_el_salvador                -0.209111292  0.188778510
## native_country_england                    -0.114898716 -0.074858347
## native_country_france                      0.040433126 -0.048822050
## native_country_germany                     0.034152771 -0.021195892
## native_country_greece                      0.168312037 -0.069448624
## native_country_guatemala                   0.062476440 -0.064761403
## native_country_haiti                       0.095625668 -0.076606741
## native_country_holand_netherlands          0.018216820 -0.134827132
## native_country_honduras                    0.057409154  0.222602631
## native_country_hong                       -0.011756519 -0.116212783
## native_country_hungary                    -0.070334835  0.013612073
## native_country_india                      -0.261541171 -0.005023433
## native_country_iran                       -0.171812744 -0.089670931
## native_country_ireland                    -0.041432301  0.005906776
## native_country_italy                      -0.082803057 -0.078939720
## native_country_jamaica                     0.110782763  0.091950552
## native_country_japan                       0.110434011  0.076359392
## native_country_laos                        0.265546462 -0.403356849
## native_country_mexico                      0.024332383  0.004970747
## native_country_nicaragua                   0.061913657  0.025866445
## native_country_outlying_us(guam_usvi_etc) -0.124797678  0.100316642
## native_country_peru                        0.262243971  0.232025822
## native_country_philippines                 0.183436934  0.060394856
## native_country_poland                     -0.058444133  0.125518100
## native_country_portugal                    0.042991493 -0.044745886
## native_country_puerto_rico                 0.168645308  0.009148974
## native_country_scotland                   -0.040671030 -0.009894322
## native_country_south                       0.032402527  0.116478583
## native_country_taiwan                     -0.191339538 -0.005378481
## native_country_thailand                   -0.084541531 -0.167429983
## native_country_trinadad&tobago            -0.044792896 -0.108005826
## native_country_united_states              -0.003218219  0.003212346
## native_country_vietnam                     0.109785482  0.008333739
## native_country_yugoslavia                  0.086085887 -0.208058215
##                                                   PC69           PC70
## l_capital_gain                            -0.055651804 -0.04633549459
## l_capital_loss                             0.181783510  0.00860345210
## age                                       -0.017604790 -0.01360702780
## fnlwgt                                     0.034161928 -0.07665002698
## education_num                             -0.043275077  0.04425546065
## hours_per_week                             0.048622909  0.08936694141
## workclass_federal_gov                     -0.004705650 -0.00438526285
## workclass_local_gov                        0.044088479  0.05903679654
## workclass_private                         -0.047309767  0.06295579443
## workclass_self_emp_inc                     0.181014014 -0.05955942382
## workclass_self_emp_not_inc                -0.042535677  0.00007062976
## workclass_state_gov                       -0.070345823 -0.15036515028
## workclass_without_pay                      0.124729891 -0.01122722120
## education_1st_4th                         -0.115591840  0.01587006493
## education_5th_6th                          0.086774332 -0.00099605202
## education_7th_8th                          0.022084647 -0.04037210061
## education_9th                              0.259500277  0.08864542760
## education_10th                            -0.205539392 -0.02624242308
## education_11th                             0.106868446  0.13009914338
## education_12th                             0.025895185 -0.24650507939
## education_assoc_acdm                      -0.086653486  0.06350760793
## education_assoc_voc                        0.142732313  0.15220374441
## education_bachelors                       -0.028803182 -0.04075863703
## education_doctorate                        0.023436283  0.22457651870
## education_hs_grad                         -0.025576190 -0.04970315895
## education_masters                         -0.072484245 -0.08564284005
## education_preschool                       -0.104716909 -0.20641878245
## education_prof_school                      0.043078443 -0.04777675744
## education_some_college                    -0.006137918  0.01726480267
## marital_status_divorced                   -0.069998356 -0.08191186711
## marital_status_married_af_spouse          -0.085656915 -0.00338798704
## marital_status_married_civ_spouse         -0.004990696 -0.01607461883
## marital_status_married_spouse_absent       0.025568078  0.21387406734
## marital_status_never_married               0.013739382  0.01167343540
## marital_status_separated                   0.112722223 -0.00558732800
## marital_status_widowed                     0.001034354  0.05128349076
## occupation_adm_clerical                    0.006214725  0.10444580660
## occupation_armed_forces                    0.011550230  0.07040698235
## occupation_craft_repair                    0.072652395 -0.09185680272
## occupation_exec_managerial                 0.005880626  0.03911290399
## occupation_farming_fishing                -0.069875803  0.07287223480
## occupation_handlers_cleaners              -0.046905367 -0.10568153350
## occupation_machine_op_inspct              -0.057497050  0.08950220358
## occupation_other_service                  -0.058642285  0.09507581791
## occupation_priv_house_serv                 0.059734995 -0.12410009012
## occupation_prof_specialty                 -0.016734210 -0.01325299917
## occupation_protective_serv                -0.016912386  0.09595917753
## occupation_sales                          -0.006405477 -0.07573357335
## occupation_tech_support                   -0.013456548 -0.18060496620
## occupation_transport_moving                0.153704437 -0.02050518578
## relationship_husband                      -0.039173502  0.00585825836
## relationship_not_in_family                 0.069505872 -0.04303000916
## relationship_other_relative               -0.082092842  0.31177422216
## relationship_own_child                     0.011925249 -0.04472422004
## relationship_unmarried                    -0.053526996 -0.01539388787
## relationship_wife                          0.071730220 -0.07869323753
## race_amer_indian_eskimo                    0.004572028 -0.07252065565
## race_asian_pac_islander                    0.013174825 -0.00185552652
## race_black                                 0.015881614 -0.01811364722
## race_other                                 0.011110389 -0.07458815240
## race_white                                -0.023799321  0.05545346461
## sex_female                                 0.034473097 -0.00714719915
## sex_male                                  -0.034473097  0.00714719915
## native_country_cambodia                    0.107291009  0.05518362251
## native_country_canada                     -0.171639803 -0.05837784446
## native_country_china                       0.113075174 -0.05340449057
## native_country_columbia                   -0.076066590 -0.05616811170
## native_country_cuba                       -0.169130565  0.04715864532
## native_country_dominican_republic          0.014919558  0.16251401536
## native_country_ecuador                     0.172298447 -0.04715937951
## native_country_el_salvador                -0.090407392 -0.01372305206
## native_country_england                     0.134254405  0.08722325792
## native_country_france                      0.127796125  0.03224212189
## native_country_germany                     0.098107259 -0.01663106515
## native_country_greece                     -0.099442737  0.00758014079
## native_country_guatemala                  -0.152938981  0.03453587153
## native_country_haiti                       0.064892740  0.15659558071
## native_country_holand_netherlands         -0.018595971 -0.32439895075
## native_country_honduras                   -0.130982686 -0.02059439866
## native_country_hong                       -0.115308100  0.07196103544
## native_country_hungary                    -0.017754888  0.07549975523
## native_country_india                       0.065988616  0.03638151753
## native_country_iran                        0.177735312 -0.03812624671
## native_country_ireland                    -0.027692868 -0.17743335220
## native_country_italy                       0.101293361  0.16941130261
## native_country_jamaica                    -0.091675559 -0.05041412276
## native_country_japan                       0.077117281  0.16019856903
## native_country_laos                       -0.100881509  0.02985494444
## native_country_mexico                      0.073481668 -0.08242371095
## native_country_nicaragua                   0.054625446  0.04355728221
## native_country_outlying_us(guam_usvi_etc) -0.103360039 -0.00104130984
## native_country_peru                        0.185046665 -0.04960076771
## native_country_philippines                -0.024685326 -0.03877097265
## native_country_poland                      0.062116570 -0.23056333150
## native_country_portugal                    0.137257423  0.03121042877
## native_country_puerto_rico                -0.281673823 -0.03766405220
## native_country_scotland                    0.149219333 -0.11652523489
## native_country_south                      -0.141019582  0.10875097590
## native_country_taiwan                     -0.036381640 -0.02799939299
## native_country_thailand                   -0.064016745 -0.10196668208
## native_country_trinadad&tobago            -0.288358400  0.12158072014
## native_country_united_states               0.011513027  0.02246341207
## native_country_vietnam                     0.098286883 -0.13581097277
## native_country_yugoslavia                  0.055727772 -0.00020023336
##                                                    PC71           PC72
## l_capital_gain                            -0.0485641172  0.02197309002
## l_capital_loss                             0.0699516605 -0.04696014482
## age                                       -0.0010987719 -0.00996254222
## fnlwgt                                    -0.0858171381  0.02815704034
## education_num                             -0.0159423642 -0.00470098097
## hours_per_week                             0.0330379403 -0.02154113740
## workclass_federal_gov                     -0.0599957184  0.03364772428
## workclass_local_gov                        0.0072848429  0.08663181956
## workclass_private                          0.0528013782  0.02359040430
## workclass_self_emp_inc                    -0.0308289225 -0.09958223242
## workclass_self_emp_not_inc                -0.0334390857  0.04406220545
## workclass_state_gov                       -0.0024191448 -0.16534431911
## workclass_without_pay                      0.0394275023  0.08640377578
## education_1st_4th                         -0.0293399519  0.15033748910
## education_5th_6th                         -0.0608888118 -0.17748538247
## education_7th_8th                         -0.0042910943 -0.17095470116
## education_9th                             -0.2340674097  0.23247546256
## education_10th                            -0.0239930532 -0.09706534244
## education_11th                             0.1629185800  0.08623293814
## education_12th                             0.2638853909 -0.03040479371
## education_assoc_acdm                      -0.0097292740  0.03055892463
## education_assoc_voc                        0.0492428770 -0.18768100287
## education_bachelors                       -0.0094097052  0.12050049548
## education_doctorate                        0.1492960690  0.02977851151
## education_hs_grad                         -0.0485066475  0.00075856051
## education_masters                         -0.1355908176 -0.18242324074
## education_preschool                        0.2723438012  0.16421064369
## education_prof_school                     -0.0072751960  0.04648332660
## education_some_college                     0.0095345702  0.04397210856
## marital_status_divorced                   -0.0305348121 -0.03080939011
## marital_status_married_af_spouse          -0.2324084717  0.09308433726
## marital_status_married_civ_spouse          0.0451384936 -0.00479938364
## marital_status_married_spouse_absent      -0.0448866676  0.07100545261
## marital_status_never_married              -0.0701665277 -0.02750849241
## marital_status_separated                   0.2770262619  0.03342910862
## marital_status_widowed                    -0.0977557078  0.05938737783
## occupation_adm_clerical                    0.0538921902 -0.01234498376
## occupation_armed_forces                    0.1923121053  0.01034774621
## occupation_craft_repair                   -0.0208577534 -0.00951799505
## occupation_exec_managerial                -0.0035775935  0.01110578228
## occupation_farming_fishing                 0.0528525679  0.01657209913
## occupation_handlers_cleaners               0.1304324950 -0.01679579043
## occupation_machine_op_inspct              -0.0081943127  0.05280211189
## occupation_other_service                  -0.0064917271  0.01925262478
## occupation_priv_house_serv                 0.0499718269  0.00010262586
## occupation_prof_specialty                 -0.0132830584  0.00659227347
## occupation_protective_serv                 0.1525046561  0.04736992195
## occupation_sales                          -0.0291847713 -0.16141901543
## occupation_tech_support                   -0.1785957629  0.14730300517
## occupation_transport_moving               -0.1172365528  0.01099101280
## relationship_husband                      -0.0061328750  0.00398602285
## relationship_not_in_family                 0.1235371973  0.01785750618
## relationship_other_relative               -0.0107852609 -0.18480923824
## relationship_own_child                    -0.1111551767  0.01877872311
## relationship_unmarried                    -0.0937428101  0.04609975190
## relationship_wife                          0.0900023578  0.00396058463
## race_amer_indian_eskimo                   -0.0152003882  0.03089655333
## race_asian_pac_islander                    0.0118274041  0.01342186397
## race_black                                -0.0359266009 -0.03204883841
## race_other                                -0.0287800539 -0.03070407487
## race_white                                 0.0360446290  0.01953055835
## sex_female                                 0.0199513613 -0.00618929490
## sex_male                                  -0.0199513613  0.00618929490
## native_country_cambodia                   -0.1499959653 -0.01846064625
## native_country_canada                     -0.0843183419  0.00080522318
## native_country_china                      -0.1370576412  0.08212169767
## native_country_columbia                    0.0484398847 -0.10135425012
## native_country_cuba                       -0.0116275740  0.03570078547
## native_country_dominican_republic         -0.0939737415 -0.10120897481
## native_country_ecuador                     0.0462659392  0.30159089851
## native_country_el_salvador                 0.0194084863 -0.09766944167
## native_country_england                    -0.0341780987 -0.10754724966
## native_country_france                      0.0799283637 -0.07008650082
## native_country_germany                    -0.0862857215 -0.05984979152
## native_country_greece                      0.0915067441  0.29966812108
## native_country_guatemala                  -0.0691793001  0.06415167670
## native_country_haiti                      -0.0361269831 -0.11341557847
## native_country_holand_netherlands         -0.0465466119  0.11945359369
## native_country_honduras                   -0.0757416172  0.14247253426
## native_country_hong                       -0.2362474015  0.03879437993
## native_country_hungary                     0.0880705504 -0.04485988142
## native_country_india                       0.1277136112  0.13086990057
## native_country_iran                        0.0914379491  0.00962917421
## native_country_ireland                    -0.0895914853 -0.03130940288
## native_country_italy                      -0.1246525869  0.23974877684
## native_country_jamaica                     0.1113715305  0.06476449635
## native_country_japan                       0.0463620501 -0.00913501368
## native_country_laos                       -0.1392892468 -0.00641033960
## native_country_mexico                      0.0144720388  0.01912488864
## native_country_nicaragua                  -0.0407437416  0.04155094164
## native_country_outlying_us(guam_usvi_etc)  0.0540512386 -0.08138016058
## native_country_peru                        0.0240006313 -0.02062784730
## native_country_philippines                 0.0196746509 -0.25237368355
## native_country_poland                      0.0089799831 -0.04211818624
## native_country_portugal                    0.0623580168 -0.13653688501
## native_country_puerto_rico                -0.0450496491 -0.13804798435
## native_country_scotland                   -0.1383966168  0.02111874985
## native_country_south                       0.1087343890  0.17962595859
## native_country_taiwan                      0.0173180662  0.16231233639
## native_country_thailand                    0.0003983698 -0.02420759540
## native_country_trinadad&tobago             0.2203100161  0.05362162787
## native_country_united_states               0.0061106563  0.00007992183
## native_country_vietnam                     0.1235104237 -0.04087464904
## native_country_yugoslavia                  0.1163475566 -0.05702318635
##                                                   PC73         PC74
## l_capital_gain                             0.055359779 -0.047512947
## l_capital_loss                             0.023714272  0.005524682
## age                                        0.024844945 -0.027160712
## fnlwgt                                     0.196973190  0.093365699
## education_num                              0.028829659  0.002145341
## hours_per_week                             0.002283040  0.073865188
## workclass_federal_gov                      0.010738617 -0.134424916
## workclass_local_gov                        0.001373589 -0.087248505
## workclass_private                          0.013328718  0.070481222
## workclass_self_emp_inc                    -0.101464107 -0.028839528
## workclass_self_emp_not_inc                 0.134194228 -0.040963753
## workclass_state_gov                       -0.125218644  0.153371160
## workclass_without_pay                     -0.040934000 -0.001559198
## education_1st_4th                          0.162111560  0.199318746
## education_5th_6th                         -0.033864480 -0.279911106
## education_7th_8th                         -0.165051885  0.144780057
## education_9th                             -0.082540634  0.147982804
## education_10th                             0.018824050  0.013962493
## education_11th                             0.023576642 -0.127454529
## education_12th                             0.300413074 -0.144151942
## education_assoc_acdm                      -0.007171774  0.122547926
## education_assoc_voc                        0.023278498  0.171167694
## education_bachelors                       -0.038596324 -0.034958773
## education_doctorate                        0.111758270 -0.092664246
## education_hs_grad                         -0.015609876 -0.024114195
## education_masters                         -0.094881609  0.013693493
## education_preschool                       -0.268479669  0.064297443
## education_prof_school                      0.003573211  0.083245552
## education_some_college                     0.050857377 -0.060082225
## marital_status_divorced                    0.059446174  0.049356571
## marital_status_married_af_spouse          -0.164089654 -0.029866013
## marital_status_married_civ_spouse          0.017475123  0.010685210
## marital_status_married_spouse_absent       0.053121267 -0.301636915
## marital_status_never_married              -0.037625592  0.034449879
## marital_status_separated                  -0.066979798 -0.012896560
## marital_status_widowed                    -0.009235259 -0.014284666
## occupation_adm_clerical                   -0.014959708  0.050078771
## occupation_armed_forces                   -0.090034682  0.230656640
## occupation_craft_repair                   -0.089956227 -0.064293733
## occupation_exec_managerial                 0.058738280  0.062891716
## occupation_farming_fishing                 0.095213080  0.078124334
## occupation_handlers_cleaners               0.073512913 -0.015499627
## occupation_machine_op_inspct               0.066157052 -0.152646278
## occupation_other_service                   0.011848295  0.071099170
## occupation_priv_house_serv                 0.000407267  0.031874520
## occupation_prof_specialty                 -0.074460720 -0.014949296
## occupation_protective_serv                 0.096513697  0.093269545
## occupation_sales                          -0.013786084  0.048551128
## occupation_tech_support                   -0.054118904 -0.284017985
## occupation_transport_moving               -0.045294475  0.037621688
## relationship_husband                      -0.033129049  0.015686537
## relationship_not_in_family                 0.054856972 -0.049147407
## relationship_other_relative                0.030391597  0.136916719
## relationship_own_child                    -0.035339018 -0.021345728
## relationship_unmarried                    -0.065063079  0.017798670
## relationship_wife                          0.093479213 -0.035326351
## race_amer_indian_eskimo                   -0.045462951  0.028268988
## race_asian_pac_islander                    0.005460674  0.003478663
## race_black                                 0.091656854  0.011888021
## race_other                                -0.028731151  0.014659866
## race_white                                -0.059505317 -0.023339824
## sex_female                                -0.002989238  0.007492142
## sex_male                                   0.002989238 -0.007492142
## native_country_cambodia                   -0.021355576 -0.092620445
## native_country_canada                      0.141324339  0.062533923
## native_country_china                       0.094418692  0.045925147
## native_country_columbia                   -0.056882399  0.030368139
## native_country_cuba                       -0.151579426 -0.106540631
## native_country_dominican_republic         -0.177271995 -0.045120932
## native_country_ecuador                     0.018160344  0.028249516
## native_country_el_salvador                 0.270375182 -0.062562601
## native_country_england                    -0.057234379  0.011584071
## native_country_france                      0.058836825  0.093592683
## native_country_germany                     0.038212023  0.002277543
## native_country_greece                      0.175077085 -0.039267239
## native_country_guatemala                  -0.091177514 -0.072089578
## native_country_haiti                      -0.053854986 -0.086378413
## native_country_holand_netherlands         -0.018032172 -0.009733810
## native_country_honduras                   -0.042592006  0.122914873
## native_country_hong                        0.127268388 -0.113508286
## native_country_hungary                    -0.013065146  0.063347232
## native_country_india                       0.156499772  0.034936115
## native_country_iran                       -0.003724180  0.031338147
## native_country_ireland                     0.125780763  0.048812515
## native_country_italy                      -0.020044161  0.238649263
## native_country_jamaica                    -0.328676547 -0.047353643
## native_country_japan                      -0.077729594 -0.046263559
## native_country_laos                        0.083137547  0.178387087
## native_country_mexico                     -0.086489231  0.037638211
## native_country_nicaragua                   0.014170952 -0.034636659
## native_country_outlying_us(guam_usvi_etc) -0.057469759 -0.121334829
## native_country_peru                       -0.019297971 -0.006526556
## native_country_philippines                 0.038001020  0.068474303
## native_country_poland                      0.095459742  0.197971189
## native_country_portugal                    0.107367524 -0.276639104
## native_country_puerto_rico                 0.143088491  0.003476167
## native_country_scotland                    0.038175019 -0.014651611
## native_country_south                      -0.132102564 -0.055048805
## native_country_taiwan                      0.013505043 -0.018423163
## native_country_thailand                   -0.147339328 -0.117284297
## native_country_trinadad&tobago            -0.108918204 -0.030641249
## native_country_united_states               0.019182170 -0.008752666
## native_country_vietnam                    -0.169643348 -0.017890437
## native_country_yugoslavia                  0.003558159 -0.035095332
##                                                     PC75         PC76
## l_capital_gain                             0.09369694624  0.009822580
## l_capital_loss                             0.05838693133 -0.081044030
## age                                       -0.00715202312  0.021054942
## fnlwgt                                     0.09291949477 -0.205464861
## education_num                              0.00440287266  0.053496991
## hours_per_week                             0.04965966707  0.006792129
## workclass_federal_gov                     -0.14898549235 -0.022531301
## workclass_local_gov                       -0.02264051000  0.025027904
## workclass_private                          0.03652634969  0.054708283
## workclass_self_emp_inc                    -0.00907959091 -0.122981330
## workclass_self_emp_not_inc                 0.01980123389  0.066224755
## workclass_state_gov                        0.07669761842 -0.110522246
## workclass_without_pay                     -0.17943191820  0.027023530
## education_1st_4th                         -0.00390692995 -0.117751848
## education_5th_6th                          0.04266487182  0.304716979
## education_7th_8th                          0.11490645784 -0.203872665
## education_9th                              0.01602317807 -0.063897397
## education_10th                            -0.02154436409  0.017721679
## education_11th                            -0.15065372806 -0.041290558
## education_12th                            -0.14211771155 -0.157112822
## education_assoc_acdm                       0.10533710626  0.101831609
## education_assoc_voc                        0.09242672860  0.011058950
## education_bachelors                       -0.07339640921  0.036060654
## education_doctorate                        0.12906152482  0.110971497
## education_hs_grad                          0.04002503492  0.009339547
## education_masters                         -0.00844416796 -0.128690276
## education_preschool                       -0.01573672203 -0.061714489
## education_prof_school                     -0.04178006137 -0.028244668
## education_some_college                    -0.02169828283  0.049869227
## marital_status_divorced                   -0.06610121828  0.047358739
## marital_status_married_af_spouse          -0.08352452215 -0.010053995
## marital_status_married_civ_spouse         -0.00797006649  0.012110862
## marital_status_married_spouse_absent       0.35005569254 -0.329890518
## marital_status_never_married               0.01495240428  0.015295091
## marital_status_separated                  -0.12066382193 -0.028335321
## marital_status_widowed                     0.02795380812  0.071413212
## occupation_adm_clerical                   -0.12872261167 -0.048921896
## occupation_armed_forces                    0.33869367961  0.143508032
## occupation_craft_repair                    0.02175467950 -0.026484788
## occupation_exec_managerial                 0.07143111481  0.065235937
## occupation_farming_fishing                 0.00385932142  0.067631803
## occupation_handlers_cleaners               0.10386346435  0.108950258
## occupation_machine_op_inspct              -0.04835496267 -0.145175209
## occupation_other_service                  -0.02404161710  0.080303628
## occupation_priv_house_serv                 0.07967900008  0.141359313
## occupation_prof_specialty                 -0.00060903647 -0.016229801
## occupation_protective_serv                 0.05644597156  0.087678923
## occupation_sales                           0.00677959730 -0.066310721
## occupation_tech_support                   -0.08277978819 -0.159233542
## occupation_transport_moving                0.00143333151  0.040348852
## relationship_husband                      -0.02198385147  0.020911917
## relationship_not_in_family                -0.01253834698  0.014570922
## relationship_other_relative               -0.36354090789 -0.175660267
## relationship_own_child                     0.13118227572  0.036117926
## relationship_unmarried                     0.06374462643  0.006667432
## relationship_wife                          0.05789165373 -0.007702377
## race_amer_indian_eskimo                   -0.03783243619 -0.197656781
## race_asian_pac_islander                    0.01324125226  0.015611678
## race_black                                 0.02685124198  0.029132178
## race_other                                -0.00083357708  0.217648494
## race_white                                -0.01807297349 -0.031596160
## sex_female                                 0.02400155965  0.006763600
## sex_male                                  -0.02400155965 -0.006763600
## native_country_cambodia                    0.08360879627  0.132141796
## native_country_canada                     -0.01490523129 -0.034617328
## native_country_china                      -0.15012008073  0.119475681
## native_country_columbia                   -0.01697564154  0.058950991
## native_country_cuba                        0.03674573530  0.054032059
## native_country_dominican_republic         -0.08734429398  0.162592069
## native_country_ecuador                     0.16285168717 -0.091585882
## native_country_el_salvador                 0.04189360574 -0.109772622
## native_country_england                    -0.07045914435 -0.155714447
## native_country_france                     -0.10341886538 -0.030886588
## native_country_germany                     0.00005524038 -0.016247529
## native_country_greece                      0.01000736158  0.011746136
## native_country_guatemala                  -0.05095404446  0.018395630
## native_country_haiti                      -0.00458778953  0.122613626
## native_country_holand_netherlands          0.15652300827  0.086316252
## native_country_honduras                   -0.00982984519  0.011616650
## native_country_hong                        0.01126191231  0.054933993
## native_country_hungary                    -0.02659592184 -0.001567632
## native_country_india                      -0.08833128916  0.092610715
## native_country_iran                       -0.03430711108 -0.165099611
## native_country_ireland                     0.00984960822  0.045202925
## native_country_italy                       0.04588080654 -0.033555069
## native_country_jamaica                    -0.06653652116 -0.004470128
## native_country_japan                      -0.03388696337 -0.114306572
## native_country_laos                       -0.09677056176  0.019261198
## native_country_mexico                     -0.03012514637  0.014629529
## native_country_nicaragua                   0.18784559751  0.001318466
## native_country_outlying_us(guam_usvi_etc)  0.01750045642 -0.076918272
## native_country_peru                       -0.05086568916  0.050952576
## native_country_philippines                 0.21084960601 -0.113692780
## native_country_poland                     -0.19865057032  0.204479273
## native_country_portugal                    0.01120865021  0.189055794
## native_country_puerto_rico                 0.07654525270 -0.090044875
## native_country_scotland                    0.07982682156 -0.081232581
## native_country_south                       0.02220693801 -0.006024694
## native_country_taiwan                     -0.15524300128 -0.026847766
## native_country_thailand                   -0.11013189795 -0.015359303
## native_country_trinadad&tobago             0.07811526952  0.012633346
## native_country_united_states               0.02386665234 -0.001132554
## native_country_vietnam                     0.11104142319 -0.023350358
## native_country_yugoslavia                 -0.05918334792 -0.090502859
##                                                   PC77          PC78
## l_capital_gain                            -0.030084374 -0.0020967052
## l_capital_loss                            -0.006522211 -0.0591612244
## age                                        0.008259005 -0.0259367612
## fnlwgt                                    -0.130491010 -0.1324705579
## education_num                              0.002155613 -0.0242742932
## hours_per_week                            -0.077550285  0.0553046723
## workclass_federal_gov                     -0.006959228 -0.1845443375
## workclass_local_gov                       -0.153628337  0.0431027493
## workclass_private                          0.035754565 -0.0037503976
## workclass_self_emp_inc                    -0.122877222  0.1233273023
## workclass_self_emp_not_inc                 0.022572824 -0.0313910220
## workclass_state_gov                        0.199473201  0.0415590688
## workclass_without_pay                      0.025588197 -0.0016086057
## education_1st_4th                          0.007324500  0.1330263234
## education_5th_6th                          0.087130724 -0.0561264480
## education_7th_8th                         -0.047055407 -0.0538024560
## education_9th                             -0.027073708 -0.0764300884
## education_10th                            -0.005990945  0.1370767210
## education_11th                             0.026080505  0.1159786258
## education_12th                             0.016665795  0.0102142281
## education_assoc_acdm                       0.056346838  0.0051012823
## education_assoc_voc                        0.116669893 -0.1836101551
## education_bachelors                        0.024797596  0.0353043739
## education_doctorate                       -0.463785556 -0.0235403434
## education_hs_grad                         -0.030490670 -0.0244053938
## education_masters                         -0.005093496 -0.0230850827
## education_preschool                       -0.150167804 -0.1392290099
## education_prof_school                      0.303802377  0.0167986115
## education_some_college                    -0.038941117  0.0332461750
## marital_status_divorced                   -0.049934145  0.0086790562
## marital_status_married_af_spouse           0.040068058  0.0207283713
## marital_status_married_civ_spouse          0.008700875 -0.0260512604
## marital_status_married_spouse_absent       0.175735347 -0.0312171059
## marital_status_never_married              -0.049344148  0.0258165914
## marital_status_separated                   0.081719165 -0.0151070413
## marital_status_widowed                     0.008740346  0.0206616321
## occupation_adm_clerical                    0.090641501 -0.0641154106
## occupation_armed_forces                    0.011649193  0.2025913653
## occupation_craft_repair                   -0.099371083  0.1923725126
## occupation_exec_managerial                 0.007962424  0.0214255328
## occupation_farming_fishing                -0.022835505  0.0691803929
## occupation_handlers_cleaners               0.097818707 -0.0370535044
## occupation_machine_op_inspct               0.003155617  0.0317885299
## occupation_other_service                   0.013291222 -0.3235085306
## occupation_priv_house_serv                 0.058260443  0.3563737827
## occupation_prof_specialty                 -0.031558792  0.0154749853
## occupation_protective_serv                 0.170276725  0.0340276007
## occupation_sales                           0.027677607 -0.1469560261
## occupation_tech_support                   -0.195001720  0.2091057101
## occupation_transport_moving               -0.059782846  0.0346824907
## relationship_husband                       0.033947388 -0.0487299935
## relationship_not_in_family                 0.061810111 -0.0477947808
## relationship_other_relative               -0.112230768  0.1331367145
## relationship_own_child                    -0.035090259  0.0299769628
## relationship_unmarried                    -0.012175019  0.0141897245
## relationship_wife                         -0.040647197  0.0347977841
## race_amer_indian_eskimo                   -0.018970780 -0.0324124810
## race_asian_pac_islander                    0.005886067  0.0180035872
## race_black                                -0.007102531 -0.0064498852
## race_other                                -0.046267757 -0.0609498912
## race_white                                 0.020208691  0.0213250250
## sex_female                                -0.028289640  0.0324246862
## sex_male                                   0.028289640 -0.0324246862
## native_country_cambodia                    0.060204320 -0.0291656941
## native_country_canada                      0.151916387  0.0519751461
## native_country_china                       0.179129239  0.1102098609
## native_country_columbia                   -0.073344141 -0.0369101042
## native_country_cuba                       -0.062697133  0.0453971506
## native_country_dominican_republic          0.026227936  0.0525662285
## native_country_ecuador                     0.020672532 -0.0447348447
## native_country_el_salvador                 0.036575466 -0.0111451322
## native_country_england                     0.065325264 -0.0893815676
## native_country_france                      0.090995311 -0.1002592907
## native_country_germany                    -0.014489702 -0.0012764840
## native_country_greece                      0.011030232 -0.0153834706
## native_country_guatemala                  -0.059146668 -0.4326747654
## native_country_haiti                       0.082871456  0.1830505732
## native_country_holand_netherlands          0.036420022 -0.0583390870
## native_country_honduras                   -0.097619827 -0.1056123732
## native_country_hong                        0.123335739  0.0188500110
## native_country_hungary                    -0.044023670 -0.0823910773
## native_country_india                      -0.194772811 -0.0121362333
## native_country_iran                        0.150024714  0.0913660947
## native_country_ireland                    -0.054347048 -0.0158959387
## native_country_italy                      -0.099769218  0.0226168086
## native_country_jamaica                     0.054264323  0.0748256515
## native_country_japan                      -0.045518314  0.0713173815
## native_country_laos                       -0.048369763  0.0601982191
## native_country_mexico                     -0.017304462  0.0406580932
## native_country_nicaragua                   0.130045880 -0.0774501530
## native_country_outlying_us(guam_usvi_etc) -0.021999666  0.0452870826
## native_country_peru                       -0.007665594  0.1054736561
## native_country_philippines                -0.197634575 -0.0088871686
## native_country_poland                     -0.116751317 -0.0418868926
## native_country_portugal                   -0.014946935 -0.1220314209
## native_country_puerto_rico                -0.002525260  0.1100207131
## native_country_scotland                   -0.086811132  0.0378917557
## native_country_south                       0.041330602  0.0065693011
## native_country_taiwan                      0.271017313 -0.0385227505
## native_country_thailand                   -0.014674415 -0.0477002124
## native_country_trinadad&tobago             0.048258384  0.0606946786
## native_country_united_states              -0.006937970 -0.0007336352
## native_country_vietnam                     0.032080146 -0.0964608783
## native_country_yugoslavia                 -0.017089569 -0.0035628987
##                                                   PC79         PC80
## l_capital_gain                             0.041385142 -0.262707573
## l_capital_loss                             0.061052685 -0.219173635
## age                                       -0.006463067 -0.006342627
## fnlwgt                                     0.268317899  0.046231390
## education_num                              0.039271248  0.005144604
## hours_per_week                             0.017197566  0.007237893
## workclass_federal_gov                     -0.252249784 -0.273846579
## workclass_local_gov                       -0.037993236  0.107455419
## workclass_private                          0.021273421 -0.051067405
## workclass_self_emp_inc                    -0.121525230  0.214315425
## workclass_self_emp_not_inc                 0.124994338 -0.008929558
## workclass_state_gov                        0.152063635  0.027645647
## workclass_without_pay                      0.058044289 -0.018446336
## education_1st_4th                         -0.253395507  0.110457401
## education_5th_6th                          0.039913812  0.021043927
## education_7th_8th                         -0.223498545 -0.035009715
## education_9th                              0.007310435 -0.037500523
## education_10th                             0.021834353 -0.070783317
## education_11th                             0.132258418  0.040361522
## education_12th                            -0.005479686  0.041882094
## education_assoc_acdm                       0.023031863  0.016001585
## education_assoc_voc                       -0.031392167  0.029496334
## education_bachelors                       -0.025678969  0.083264013
## education_doctorate                       -0.092830914 -0.069558257
## education_hs_grad                         -0.010066997 -0.041791964
## education_masters                         -0.030558123 -0.082992645
## education_preschool                        0.244987259 -0.160841453
## education_prof_school                      0.148400711 -0.055311000
## education_some_college                     0.047836103  0.044943888
## marital_status_divorced                   -0.064339930 -0.050614581
## marital_status_married_af_spouse           0.006000218  0.008557062
## marital_status_married_civ_spouse         -0.019194679  0.009035952
## marital_status_married_spouse_absent       0.038849962 -0.124696298
## marital_status_never_married               0.019122103 -0.015764502
## marital_status_separated                  -0.117934433  0.017968169
## marital_status_widowed                     0.235356282  0.185491415
## occupation_adm_clerical                   -0.023111495  0.063313366
## occupation_armed_forces                    0.205390001  0.238381859
## occupation_craft_repair                    0.058209808  0.060723961
## occupation_exec_managerial                 0.127532558 -0.038772608
## occupation_farming_fishing                -0.018782692  0.012447808
## occupation_handlers_cleaners              -0.046342611  0.125193946
## occupation_machine_op_inspct               0.007081429  0.137132635
## occupation_other_service                  -0.168125887 -0.110463946
## occupation_priv_house_serv                -0.118542240 -0.387633880
## occupation_prof_specialty                 -0.057068602  0.050218230
## occupation_protective_serv                 0.047649610 -0.207216457
## occupation_sales                          -0.050120875 -0.094192893
## occupation_tech_support                    0.078858758  0.001873735
## occupation_transport_moving                0.124505811  0.047178720
## relationship_husband                      -0.032186415 -0.010915500
## relationship_not_in_family                -0.062041366  0.042435566
## relationship_other_relative                0.193324530 -0.136580917
## relationship_own_child                    -0.036284082 -0.048205757
## relationship_unmarried                     0.067522816  0.042632978
## relationship_wife                          0.010405339  0.066445949
## race_amer_indian_eskimo                    0.119896607  0.052373642
## race_asian_pac_islander                   -0.019966888  0.013653998
## race_black                                -0.004903603 -0.052400712
## race_other                                 0.029199981  0.034447325
## race_white                                -0.027413678  0.013923924
## sex_female                                 0.018739124 -0.002492897
## sex_male                                  -0.018739124  0.002492897
## native_country_cambodia                   -0.077711969  0.011893235
## native_country_canada                      0.082399845 -0.069120348
## native_country_china                       0.068595732  0.082678188
## native_country_columbia                   -0.058656601  0.003287960
## native_country_cuba                        0.047115270 -0.046680934
## native_country_dominican_republic          0.122176484 -0.059273754
## native_country_ecuador                    -0.076409182 -0.014571289
## native_country_el_salvador                -0.007716674  0.242171572
## native_country_england                     0.001199693  0.068395661
## native_country_france                      0.038220180  0.060460661
## native_country_germany                    -0.029959008 -0.044915604
## native_country_greece                      0.025593974 -0.035971727
## native_country_guatemala                   0.126552198  0.236614091
## native_country_haiti                      -0.171878684  0.179487268
## native_country_holand_netherlands         -0.061197316  0.044575890
## native_country_honduras                   -0.044632820  0.019112631
## native_country_hong                       -0.086121704  0.019752453
## native_country_hungary                    -0.076799862  0.022552162
## native_country_india                      -0.124294840  0.058300526
## native_country_iran                       -0.006439619 -0.021602865
## native_country_ireland                     0.039421168 -0.022386842
## native_country_italy                       0.118818308 -0.126181127
## native_country_jamaica                    -0.108155175  0.130150272
## native_country_japan                       0.004534775 -0.014627297
## native_country_laos                       -0.071568268 -0.012021313
## native_country_mexico                     -0.057724518 -0.088386088
## native_country_nicaragua                  -0.156673360  0.049407886
## native_country_outlying_us(guam_usvi_etc) -0.013303634 -0.050382443
## native_country_peru                       -0.035777322 -0.007742880
## native_country_philippines                 0.045109218  0.014341078
## native_country_poland                      0.036080718  0.008520422
## native_country_portugal                    0.304664616 -0.145719499
## native_country_puerto_rico                 0.024239664 -0.037663338
## native_country_scotland                    0.010499717 -0.003933869
## native_country_south                      -0.020448386 -0.052079702
## native_country_taiwan                      0.038064319 -0.017957569
## native_country_thailand                    0.031978023 -0.011721941
## native_country_trinadad&tobago             0.010885424  0.014357348
## native_country_united_states              -0.009307808 -0.023831141
## native_country_vietnam                     0.035924481 -0.045617687
## native_country_yugoslavia                 -0.004278158  0.018057979
##                                                    PC81          PC82
## l_capital_gain                             0.3615441710 -0.3708235908
## l_capital_loss                             0.3211211337 -0.2770133186
## age                                        0.0055950955  0.0044061089
## fnlwgt                                    -0.1149243868 -0.1135097860
## education_num                             -0.0505659426  0.0351547557
## hours_per_week                             0.1231121046  0.0512629477
## workclass_federal_gov                     -0.1071652310 -0.0391205892
## workclass_local_gov                       -0.0324420164 -0.0070246952
## workclass_private                          0.1265783758  0.0424481300
## workclass_self_emp_inc                     0.0222646964  0.2468320639
## workclass_self_emp_not_inc                -0.1812019475 -0.1980619562
## workclass_state_gov                        0.0909041891 -0.0024470781
## workclass_without_pay                     -0.0618280008 -0.0437013646
## education_1st_4th                         -0.0031136749 -0.0717156146
## education_5th_6th                         -0.0042829479 -0.0225594553
## education_7th_8th                         -0.0050043953 -0.0887182825
## education_9th                              0.0803014259 -0.0258803403
## education_10th                             0.0835084558 -0.0421797812
## education_11th                             0.1551442197  0.0478607349
## education_12th                             0.0685292877 -0.0314962054
## education_assoc_acdm                      -0.0730283133  0.0210274008
## education_assoc_voc                       -0.2067878807 -0.0508992897
## education_bachelors                        0.0064487642  0.0246931034
## education_doctorate                       -0.0090422782 -0.1004044603
## education_hs_grad                          0.0142416236 -0.0179727476
## education_masters                          0.1223755227  0.0558396931
## education_preschool                       -0.1375643253  0.1289217889
## education_prof_school                     -0.0319901526 -0.0507569609
## education_some_college                    -0.0719974511  0.0705524393
## marital_status_divorced                   -0.0105108074 -0.0126556842
## marital_status_married_af_spouse           0.0315363320  0.0101036553
## marital_status_married_civ_spouse         -0.0089279335  0.0539719750
## marital_status_married_spouse_absent      -0.0149345411  0.1732861238
## marital_status_never_married               0.0155026405 -0.0423367480
## marital_status_separated                  -0.0060436958 -0.0998004736
## marital_status_widowed                     0.0162754234 -0.0283187707
## occupation_adm_clerical                    0.2009444514  0.0106062581
## occupation_armed_forces                    0.1019434197  0.0418272973
## occupation_craft_repair                    0.0076982512 -0.0305802501
## occupation_exec_managerial                -0.1348535663 -0.1733502331
## occupation_farming_fishing                 0.3331684584  0.2256515658
## occupation_handlers_cleaners              -0.0958868062  0.0375526338
## occupation_machine_op_inspct              -0.1575787096 -0.0485815314
## occupation_other_service                   0.0187263489  0.1371704324
## occupation_priv_house_serv                -0.1982758079  0.1353575869
## occupation_prof_specialty                 -0.0557816547  0.1160728614
## occupation_protective_serv                 0.1551336519 -0.1103677916
## occupation_sales                          -0.0357215827 -0.0814996236
## occupation_tech_support                    0.1560427703 -0.0056956892
## occupation_transport_moving               -0.1621908614 -0.0856435766
## relationship_husband                       0.0065974377  0.0563096414
## relationship_not_in_family                 0.0228013837  0.0370499410
## relationship_other_relative               -0.0836486805  0.0535365972
## relationship_own_child                    -0.0025479468 -0.1223839398
## relationship_unmarried                     0.0216181938 -0.0284752706
## relationship_wife                         -0.0226396260 -0.0048437663
## race_amer_indian_eskimo                   -0.0287374925 -0.1902055205
## race_asian_pac_islander                   -0.0141726368 -0.0277739249
## race_black                                 0.0128749966  0.1534535581
## race_other                                 0.1927575873  0.1374717363
## race_white                                -0.0448105347 -0.0967993346
## sex_female                                -0.0009668463 -0.0168583264
## sex_male                                   0.0009668463  0.0168583264
## native_country_cambodia                    0.0493793758  0.0039958131
## native_country_canada                      0.0163177728  0.0926118770
## native_country_china                      -0.0141352600 -0.0457822732
## native_country_columbia                    0.0366349380  0.0181748757
## native_country_cuba                        0.0540256411  0.1009705617
## native_country_dominican_republic         -0.1067124712 -0.1101302895
## native_country_ecuador                    -0.0626418325 -0.0930443903
## native_country_el_salvador                 0.1220713427 -0.0410522139
## native_country_england                     0.0216708993  0.1055142924
## native_country_france                      0.0064061682 -0.0227490767
## native_country_germany                     0.0214482898  0.1135614100
## native_country_greece                      0.0180481527  0.0684890113
## native_country_guatemala                   0.1048376208 -0.0582678968
## native_country_haiti                       0.0443922590 -0.2769151860
## native_country_holand_netherlands         -0.0129781634  0.0363042142
## native_country_honduras                    0.0062984965 -0.0001604121
## native_country_hong                       -0.0303281635  0.0149228343
## native_country_hungary                     0.0654464445  0.0412379226
## native_country_india                      -0.1181371786 -0.0977935654
## native_country_iran                        0.0014669062  0.0332843417
## native_country_ireland                    -0.0093556574  0.0062804084
## native_country_italy                       0.0132189470  0.0791490326
## native_country_jamaica                    -0.0214624985 -0.2617067343
## native_country_japan                      -0.0193005026  0.0150595440
## native_country_laos                        0.0731248446 -0.0077722613
## native_country_mexico                     -0.0425124407 -0.0335881954
## native_country_nicaragua                   0.0560647142  0.0039006092
## native_country_outlying_us(guam_usvi_etc)  0.0366171260 -0.0319392413
## native_country_peru                        0.0203857977  0.0016400995
## native_country_philippines                -0.0141819022 -0.0383120280
## native_country_poland                      0.0939683057 -0.0133498311
## native_country_portugal                   -0.0315043336  0.0859632474
## native_country_puerto_rico                -0.1857672610 -0.0517203677
## native_country_scotland                    0.0033284384  0.0083701985
## native_country_south                       0.0915237053  0.0496525974
## native_country_taiwan                     -0.0167588715 -0.0059728227
## native_country_thailand                    0.0314319889 -0.0460366824
## native_country_trinadad&tobago            -0.0712064574 -0.0989604380
## native_country_united_states              -0.0018608294  0.0614006195
## native_country_vietnam                    -0.0167087754  0.0502591964
## native_country_yugoslavia                  0.0557046627  0.0603076934
##                                                    PC83           PC84
## l_capital_gain                             0.1432914589 -0.27174093959
## l_capital_loss                             0.1041227094 -0.21449543902
## age                                        0.0123013421 -0.13641376751
## fnlwgt                                    -0.3656746519  0.09320466065
## education_num                             -0.0283047742 -0.00408878319
## hours_per_week                            -0.0889797402  0.30789825100
## workclass_federal_gov                      0.0033449013  0.30439559683
## workclass_local_gov                        0.0358466054 -0.15913200100
## workclass_private                         -0.0635195563  0.04320102419
## workclass_self_emp_inc                    -0.0846900096 -0.08893891877
## workclass_self_emp_not_inc                 0.1219958333 -0.04591254016
## workclass_state_gov                       -0.0005385016 -0.01448256583
## workclass_without_pay                      0.0224421232  0.03131889895
## education_1st_4th                          0.1948871380 -0.07258978474
## education_5th_6th                         -0.0430574663 -0.13670696587
## education_7th_8th                          0.0290873199  0.07762150600
## education_9th                             -0.0216052180  0.00706915730
## education_10th                            -0.0388174514  0.06415930919
## education_11th                            -0.0847599548  0.11789877951
## education_12th                            -0.0132598212  0.05282469843
## education_assoc_acdm                       0.0506800389 -0.09352713014
## education_assoc_voc                        0.0633273798 -0.05922327363
## education_bachelors                        0.0211895863 -0.10978202431
## education_doctorate                       -0.0160737821  0.07993593811
## education_hs_grad                         -0.0317522118  0.02221638231
## education_masters                         -0.0698878149  0.04741667534
## education_preschool                        0.1359145609 -0.06957045022
## education_prof_school                     -0.0072436814  0.15028016932
## education_some_college                     0.0270926820 -0.01904014524
## marital_status_divorced                   -0.0044739872 -0.12835666547
## marital_status_married_af_spouse          -0.0186246925 -0.08728416739
## marital_status_married_civ_spouse         -0.0457146214  0.01737617978
## marital_status_married_spouse_absent       0.1061774435  0.00691214317
## marital_status_never_married               0.0217475969  0.04229614328
## marital_status_separated                   0.0309499326 -0.05889454173
## marital_status_widowed                    -0.0142513110  0.16779641140
## occupation_adm_clerical                   -0.1397746119 -0.20651698109
## occupation_armed_forces                    0.0220985641 -0.16327139542
## occupation_craft_repair                    0.1329873041  0.05168876423
## occupation_exec_managerial                 0.0946110837  0.12231001128
## occupation_farming_fishing                -0.2531070464  0.00168935231
## occupation_handlers_cleaners               0.0436802257 -0.02819192384
## occupation_machine_op_inspct               0.1343768595 -0.07175129647
## occupation_other_service                  -0.1790352051 -0.09215028646
## occupation_priv_house_serv                -0.1746946041 -0.05615599990
## occupation_prof_specialty                  0.0064256093  0.03034229577
## occupation_protective_serv                -0.0262561121  0.27567737024
## occupation_sales                           0.0373432697  0.06136526743
## occupation_tech_support                   -0.0612942878  0.01037710625
## occupation_transport_moving                0.1757739752 -0.02155189923
## relationship_husband                      -0.0747033002 -0.01746363588
## relationship_not_in_family                -0.0586245929 -0.02467425259
## relationship_other_relative                0.1193607566 -0.06863581259
## relationship_own_child                     0.0753800815 -0.06843630499
## relationship_unmarried                     0.0160414615  0.12466425601
## relationship_wife                          0.0502665133  0.08059321080
## race_amer_indian_eskimo                   -0.2759733429  0.00355367152
## race_asian_pac_islander                   -0.0097830196  0.00923358299
## race_black                                 0.0822389093 -0.13225714727
## race_other                                 0.3048146193  0.24751497462
## race_white                                -0.0640141115  0.04277072616
## sex_female                                 0.0110760620  0.08534491387
## sex_male                                  -0.0110760620 -0.08534491387
## native_country_cambodia                   -0.0708789931  0.01570220595
## native_country_canada                      0.0438869181 -0.01397620585
## native_country_china                       0.0078358648  0.03303942801
## native_country_columbia                   -0.0422737953 -0.07860011787
## native_country_cuba                        0.0775498723 -0.00685583879
## native_country_dominican_republic         -0.3239465294 -0.11405964308
## native_country_ecuador                    -0.2192407367 -0.10608942494
## native_country_el_salvador                 0.0121070018  0.06993453956
## native_country_england                     0.0551610761 -0.03879412332
## native_country_france                      0.0634839167 -0.03603687689
## native_country_germany                     0.0674575560 -0.02078553406
## native_country_greece                      0.0066134928  0.00413948826
## native_country_guatemala                   0.0110646879 -0.02322311217
## native_country_haiti                      -0.0783818035  0.14960302008
## native_country_holand_netherlands         -0.0613856358  0.03289507136
## native_country_honduras                   -0.0231901111  0.01275015511
## native_country_hong                        0.0372792009  0.00004928568
## native_country_hungary                     0.0098234395  0.01860080768
## native_country_india                      -0.0609234128 -0.08413897242
## native_country_iran                       -0.0607223135 -0.05808563272
## native_country_ireland                    -0.0002584307  0.00322659698
## native_country_italy                       0.0328822114  0.06489960798
## native_country_jamaica                    -0.0653768222  0.10661360326
## native_country_japan                       0.0482253740 -0.02386371878
## native_country_laos                       -0.0377645081  0.02887510464
## native_country_mexico                      0.0902209596  0.07229665177
## native_country_nicaragua                   0.0189241231 -0.00772436514
## native_country_outlying_us(guam_usvi_etc)  0.0023828957  0.02395145174
## native_country_peru                        0.0169112572 -0.07476610039
## native_country_philippines                -0.0042776375  0.07466231026
## native_country_poland                     -0.0036597842 -0.01266492685
## native_country_portugal                   -0.0668752292 -0.02018689351
## native_country_puerto_rico                -0.1537469625 -0.15398157187
## native_country_scotland                    0.0355298748 -0.00947451651
## native_country_south                      -0.0268854651 -0.02956626982
## native_country_taiwan                      0.0526520874 -0.03320601061
## native_country_thailand                    0.0269558968 -0.01641206097
## native_country_trinadad&tobago            -0.0210897293  0.04975501323
## native_country_united_states               0.0507358104  0.00038862037
## native_country_vietnam                    -0.0472730004  0.06941085143
## native_country_yugoslavia                  0.0491549050  0.02493095805
##                                                   PC85          PC86
## l_capital_gain                             0.043016757 -0.2709275911
## l_capital_loss                             0.024298245 -0.1973735954
## age                                       -0.078401941  0.1379048031
## fnlwgt                                    -0.271386117 -0.1831548316
## education_num                             -0.056036335 -0.0318238322
## hours_per_week                             0.320164380 -0.1330005317
## workclass_federal_gov                      0.138494371 -0.1446834592
## workclass_local_gov                       -0.084988349  0.0522454514
## workclass_private                          0.024186803  0.0786079590
## workclass_self_emp_inc                    -0.036439003 -0.0862782734
## workclass_self_emp_not_inc                -0.083545339  0.0474754450
## workclass_state_gov                        0.080311536 -0.0996468127
## workclass_without_pay                      0.022140746  0.0230268428
## education_1st_4th                          0.087922470  0.0843117546
## education_5th_6th                          0.155667307  0.1247753896
## education_7th_8th                         -0.013110896  0.0775603412
## education_9th                             -0.004564270  0.0846699532
## education_10th                            -0.038927304  0.0620535330
## education_11th                             0.005443693  0.0267960913
## education_12th                             0.029675782  0.0293870320
## education_assoc_acdm                       0.018087940 -0.0974589741
## education_assoc_voc                       -0.054374079 -0.0818786061
## education_bachelors                        0.026930033 -0.1111914157
## education_doctorate                       -0.040994304  0.2435965158
## education_hs_grad                         -0.057613133  0.0105152600
## education_masters                         -0.003384999  0.0595912209
## education_preschool                        0.069214871  0.0444855659
## education_prof_school                     -0.019229179  0.3231103990
## education_some_college                     0.030206553 -0.1709634086
## marital_status_divorced                   -0.098921775  0.0278092127
## marital_status_married_af_spouse          -0.063008720  0.0391515047
## marital_status_married_civ_spouse         -0.003206133  0.0076093424
## marital_status_married_spouse_absent      -0.088257867  0.0100170826
## marital_status_never_married               0.121346838  0.0058004078
## marital_status_separated                  -0.164612580  0.0325659144
## marital_status_widowed                     0.115284925 -0.1445083675
## occupation_adm_clerical                   -0.181925574  0.1963885200
## occupation_armed_forces                   -0.054864764  0.0634136783
## occupation_craft_repair                    0.198054296 -0.0463798917
## occupation_exec_managerial                -0.047183110  0.2747128501
## occupation_farming_fishing                 0.025087823 -0.1101484211
## occupation_handlers_cleaners               0.028138409 -0.1682702089
## occupation_machine_op_inspct              -0.059438895 -0.1848031245
## occupation_other_service                  -0.046409426 -0.1760243722
## occupation_priv_house_serv                -0.197102298 -0.1603029576
## occupation_prof_specialty                  0.045544305 -0.1031687325
## occupation_protective_serv                 0.091272594  0.1025150435
## occupation_sales                           0.039860699  0.1102061814
## occupation_tech_support                   -0.043778751  0.1805207932
## occupation_transport_moving                0.036739621 -0.1084040590
## relationship_husband                      -0.054823767  0.0600456831
## relationship_not_in_family                -0.046290521  0.0213677683
## relationship_other_relative               -0.000519829 -0.0248637610
## relationship_own_child                    -0.065715981  0.0951892115
## relationship_unmarried                     0.146740890 -0.1424305371
## relationship_wife                          0.121155543 -0.1168047578
## race_amer_indian_eskimo                   -0.120900664 -0.0321441099
## race_asian_pac_islander                   -0.018176524 -0.0287360547
## race_black                                 0.201182712  0.1402295041
## race_other                                -0.430648644 -0.1115441899
## race_white                                -0.016810855 -0.0665202134
## sex_female                                 0.051933841  0.0190910430
## sex_male                                  -0.051933841 -0.0190910430
## native_country_cambodia                   -0.052063824  0.0390523859
## native_country_canada                     -0.012292613  0.0066892165
## native_country_china                       0.013986800 -0.0402018738
## native_country_columbia                    0.116064639  0.0353673892
## native_country_cuba                        0.058911499 -0.0425241827
## native_country_dominican_republic          0.141305358  0.0123843303
## native_country_ecuador                     0.183748186  0.0512015929
## native_country_el_salvador                -0.003773894  0.0206458789
## native_country_england                    -0.020555614 -0.0266766372
## native_country_france                      0.035239988 -0.0222464448
## native_country_germany                    -0.023908439  0.0167335693
## native_country_greece                     -0.029499951 -0.0182579627
## native_country_guatemala                   0.108008600  0.0592811965
## native_country_haiti                      -0.154281578 -0.0560603739
## native_country_holand_netherlands         -0.020679487  0.0330458551
## native_country_honduras                   -0.004734688  0.0155964256
## native_country_hong                       -0.021533141 -0.0076718301
## native_country_hungary                     0.023213482  0.0035087262
## native_country_india                       0.078374729 -0.0793108416
## native_country_iran                        0.084592764  0.0259746921
## native_country_ireland                    -0.035494645  0.0146279051
## native_country_italy                      -0.061614176 -0.0343095471
## native_country_jamaica                    -0.101653469 -0.1001381933
## native_country_japan                       0.016297051 -0.0161909865
## native_country_laos                       -0.033747438 -0.0015653762
## native_country_mexico                     -0.050656487  0.0222716732
## native_country_nicaragua                   0.088072598  0.0512262347
## native_country_outlying_us(guam_usvi_etc) -0.042983674 -0.0063759706
## native_country_peru                        0.098463556  0.0583204678
## native_country_philippines                -0.052964243  0.0017754316
## native_country_poland                     -0.003738162  0.0383095291
## native_country_portugal                   -0.060434573 -0.0261360777
## native_country_puerto_rico                 0.177582304  0.0602135867
## native_country_scotland                   -0.020006724 -0.0182869251
## native_country_south                      -0.040600352  0.0113847122
## native_country_taiwan                      0.005443780 -0.0668774753
## native_country_thailand                   -0.016291266  0.0141302773
## native_country_trinadad&tobago            -0.055776184 -0.0425536872
## native_country_united_states              -0.038062464  0.0008922927
## native_country_vietnam                    -0.037607031  0.0131365871
## native_country_yugoslavia                  0.021709669  0.0104477702
##                                                   PC87          PC88
## l_capital_gain                             0.042472667 -0.0323815956
## l_capital_loss                             0.007546948 -0.0144142644
## age                                       -0.146055819  0.0370981993
## fnlwgt                                    -0.074219512 -0.0254487729
## education_num                             -0.036257974  0.0833250129
## hours_per_week                             0.460343533 -0.0256852402
## workclass_federal_gov                     -0.166568305 -0.1111804437
## workclass_local_gov                        0.176367136 -0.4177388204
## workclass_private                         -0.112845152  0.0460460106
## workclass_self_emp_inc                    -0.142640619  0.2774946183
## workclass_self_emp_not_inc                 0.176229786  0.3556675664
## workclass_state_gov                        0.050825469 -0.2308095259
## workclass_without_pay                      0.073607521  0.0377423474
## education_1st_4th                         -0.036882943  0.0288150715
## education_5th_6th                         -0.071126453  0.0098011270
## education_7th_8th                          0.046420216  0.0161748241
## education_9th                             -0.004355826  0.0009018461
## education_10th                             0.063321131 -0.0083510516
## education_11th                             0.099661196 -0.0184560702
## education_12th                             0.070261778 -0.0195493503
## education_assoc_acdm                      -0.030148735 -0.0292069317
## education_assoc_voc                       -0.001639485 -0.0563117049
## education_bachelors                       -0.022223399  0.0985839558
## education_doctorate                        0.021663754  0.0074186825
## education_hs_grad                         -0.021328750 -0.0786227290
## education_masters                         -0.010728713  0.2416864485
## education_preschool                       -0.005158970  0.0455496362
## education_prof_school                      0.006583031 -0.1627972886
## education_some_college                    -0.022324995 -0.0441082953
## marital_status_divorced                   -0.151859475 -0.0128144371
## marital_status_married_af_spouse           0.028204475 -0.0013623936
## marital_status_married_civ_spouse          0.047616888 -0.0118369769
## marital_status_married_spouse_absent      -0.004141807 -0.0093839291
## marital_status_never_married               0.113068923  0.0362798360
## marital_status_separated                  -0.127007736 -0.0241848528
## marital_status_widowed                    -0.013621431 -0.0081513102
## occupation_adm_clerical                    0.264391274  0.1754462504
## occupation_armed_forces                    0.048206514  0.0340133291
## occupation_craft_repair                   -0.112131738 -0.0142621534
## occupation_exec_managerial                -0.059080345 -0.2219963695
## occupation_farming_fishing                -0.375963810 -0.2576256103
## occupation_handlers_cleaners               0.118591290  0.0561065982
## occupation_machine_op_inspct               0.055938944  0.0384125953
## occupation_other_service                   0.213920625  0.0810347002
## occupation_priv_house_serv                 0.151002755 -0.0065561559
## occupation_prof_specialty                 -0.141482723  0.0130803271
## occupation_protective_serv                -0.228228968  0.4353759763
## occupation_sales                           0.063423616 -0.2157370627
## occupation_tech_support                    0.095378639  0.0369291377
## occupation_transport_moving               -0.153289334  0.0814339581
## relationship_husband                       0.121388894 -0.0220855648
## relationship_not_in_family                 0.040260884 -0.0296730613
## relationship_other_relative               -0.073227747 -0.0041355012
## relationship_own_child                    -0.169475400 -0.0084037032
## relationship_unmarried                     0.092060727  0.0721780548
## relationship_wife                         -0.158725778  0.0254115610
## race_amer_indian_eskimo                   -0.045988166  0.0448629086
## race_asian_pac_islander                   -0.009765118 -0.0257805018
## race_black                                 0.006926400  0.0187287332
## race_other                                 0.026124787 -0.0160991637
## race_white                                 0.005210751 -0.0118306113
## sex_female                                 0.042851352 -0.0132898672
## sex_male                                  -0.042851352  0.0132898672
## native_country_cambodia                    0.020576031  0.0166320759
## native_country_canada                      0.011090717 -0.0232008436
## native_country_china                       0.021640889 -0.0104187016
## native_country_columbia                   -0.026678762  0.0055354885
## native_country_cuba                        0.034359579 -0.0372200475
## native_country_dominican_republic         -0.050320917 -0.0110740066
## native_country_ecuador                    -0.017735846  0.0018012282
## native_country_el_salvador                -0.001355462 -0.0054121605
## native_country_england                    -0.007910524 -0.0045815241
## native_country_france                     -0.017817907 -0.0105720697
## native_country_germany                    -0.004571481 -0.0009002416
## native_country_greece                     -0.032097887 -0.0214279997
## native_country_guatemala                  -0.046651582  0.0202204484
## native_country_haiti                      -0.006507971 -0.0259004828
## native_country_holand_netherlands         -0.002007183 -0.0006919125
## native_country_honduras                    0.015802230 -0.0041219846
## native_country_hong                        0.021934647 -0.0061056735
## native_country_hungary                     0.006708241 -0.0270794986
## native_country_india                       0.001193947 -0.0147399798
## native_country_iran                       -0.018776949 -0.0340964579
## native_country_ireland                    -0.011603891 -0.0043839044
## native_country_italy                      -0.015909367 -0.0194464467
## native_country_jamaica                    -0.051559228 -0.0097734319
## native_country_japan                      -0.010649598 -0.0015597885
## native_country_laos                        0.003464814  0.0141379538
## native_country_mexico                      0.089445009  0.0544497649
## native_country_nicaragua                  -0.021313115 -0.0131446314
## native_country_outlying_us(guam_usvi_etc) -0.010576286  0.0035312781
## native_country_peru                        0.025458975 -0.0123589766
## native_country_philippines                 0.014155672  0.0107751440
## native_country_poland                      0.010792806 -0.0042022195
## native_country_portugal                   -0.010269032 -0.0064856256
## native_country_puerto_rico                -0.002771484  0.0211658773
## native_country_scotland                    0.004204236 -0.0321106424
## native_country_south                      -0.035242701 -0.0338191032
## native_country_taiwan                      0.023838935 -0.0094334357
## native_country_thailand                   -0.018008853 -0.0147891263
## native_country_trinadad&tobago            -0.018787296 -0.0237592855
## native_country_united_states              -0.009130327  0.0144287262
## native_country_vietnam                    -0.020336785  0.0072529093
## native_country_yugoslavia                 -0.011132605  0.0050880477
##                                                   PC89          PC90
## l_capital_gain                             0.046887661 -0.0151467146
## l_capital_loss                             0.035050460  0.0007261050
## age                                       -0.137571647 -0.0150898159
## fnlwgt                                    -0.095268328 -0.1873951801
## education_num                              0.043310121  0.2134273707
## hours_per_week                            -0.470820376  0.0084707442
## workclass_federal_gov                     -0.020186593 -0.0110008745
## workclass_local_gov                        0.028850843  0.0289669788
## workclass_private                         -0.017243974 -0.0085820053
## workclass_self_emp_inc                     0.058414460 -0.0113840273
## workclass_self_emp_not_inc                 0.005898292 -0.0175143891
## workclass_state_gov                       -0.042521685  0.0271348862
## workclass_without_pay                     -0.006349565 -0.0068450253
## education_1st_4th                         -0.094074901 -0.2851862319
## education_5th_6th                         -0.162081917 -0.3830977787
## education_7th_8th                          0.014266546 -0.0042469109
## education_9th                             -0.019481211 -0.0522917440
## education_10th                             0.020372361  0.0444360653
## education_11th                             0.012257938  0.0450469491
## education_12th                             0.007229671 -0.0251328718
## education_assoc_acdm                      -0.009946480 -0.0002849553
## education_assoc_voc                        0.002409971  0.0094439361
## education_bachelors                       -0.064906402  0.0311209409
## education_doctorate                        0.055940770  0.0129420213
## education_hs_grad                          0.058349255  0.0257723600
## education_masters                         -0.025554622  0.0281264152
## education_preschool                       -0.078217460 -0.1173449679
## education_prof_school                      0.043915027  0.0485979592
## education_some_college                     0.029030625  0.0410369719
## marital_status_divorced                   -0.204565255  0.1480295931
## marital_status_married_af_spouse           0.008800829 -0.0209783792
## marital_status_married_civ_spouse          0.041513864 -0.0249510673
## marital_status_married_spouse_absent      -0.056678819  0.0018779588
## marital_status_never_married               0.241951435 -0.1713835389
## marital_status_separated                  -0.147794610  0.0696899447
## marital_status_widowed                    -0.189101421  0.1784637385
## occupation_adm_clerical                   -0.028589294  0.0195791563
## occupation_armed_forces                   -0.004253957  0.0067775633
## occupation_craft_repair                   -0.020567300  0.0404299816
## occupation_exec_managerial                 0.076926758 -0.0443713969
## occupation_farming_fishing                 0.088426646  0.0266321801
## occupation_handlers_cleaners              -0.007123846  0.0076410352
## occupation_machine_op_inspct              -0.004210417  0.0442102091
## occupation_other_service                  -0.079203246  0.0490731414
## occupation_priv_house_serv                 0.005481584  0.0217990907
## occupation_prof_specialty                 -0.052590177 -0.1524732651
## occupation_protective_serv                 0.012384566 -0.0320833980
## occupation_sales                           0.026976792  0.0168841291
## occupation_tech_support                   -0.031850374 -0.0057462503
## occupation_transport_moving                0.063664335  0.0577861728
## relationship_husband                       0.059519126 -0.0916829662
## relationship_not_in_family                 0.119073140  0.0064336055
## relationship_other_relative               -0.088831938 -0.0360635801
## relationship_own_child                    -0.519642580  0.1753642297
## relationship_unmarried                     0.380497678 -0.1453815983
## relationship_wife                          0.001659063  0.1484430510
## race_amer_indian_eskimo                   -0.028747936 -0.0385276589
## race_asian_pac_islander                   -0.016480261 -0.0760941214
## race_black                                 0.018816233  0.1354836763
## race_other                                -0.048208221 -0.1281468276
## race_white                                 0.012481696 -0.0336744114
## sex_female                                -0.033480580 -0.0956178383
## sex_male                                   0.033480580  0.0956178383
## native_country_cambodia                    0.000894371  0.0075078528
## native_country_canada                     -0.034438619 -0.0808284069
## native_country_china                      -0.005752028 -0.0087219595
## native_country_columbia                   -0.011295841 -0.0077838873
## native_country_cuba                        0.023015769 -0.0083060856
## native_country_dominican_republic          0.042803251  0.0703362091
## native_country_ecuador                     0.006412597  0.0147249003
## native_country_el_salvador                 0.051222305  0.1667097082
## native_country_england                    -0.013907283 -0.0763585938
## native_country_france                     -0.017023981 -0.0383894474
## native_country_germany                    -0.036766575 -0.0936006710
## native_country_greece                     -0.006298424 -0.0423075543
## native_country_guatemala                   0.017278425  0.1125061283
## native_country_haiti                      -0.008690560 -0.0434844886
## native_country_holand_netherlands         -0.005200956 -0.0031743316
## native_country_honduras                   -0.007011828  0.0256539484
## native_country_hong                       -0.012877323  0.0075524510
## native_country_hungary                    -0.012878331 -0.0309557036
## native_country_india                      -0.009603617 -0.0468051469
## native_country_iran                       -0.005725696 -0.0458426187
## native_country_ireland                    -0.030867383 -0.0318873838
## native_country_italy                       0.022336095  0.0165608785
## native_country_jamaica                    -0.037523107 -0.0846492910
## native_country_japan                      -0.015677229 -0.0371092110
## native_country_laos                        0.008559694  0.0307556966
## native_country_mexico                      0.147284346  0.5063453652
## native_country_nicaragua                   0.010726214  0.0121885339
## native_country_outlying_us(guam_usvi_etc) -0.010366069 -0.0388023609
## native_country_peru                       -0.009723782 -0.0205195008
## native_country_philippines                 0.035724426 -0.0244760378
## native_country_poland                     -0.023254114 -0.0581776058
## native_country_portugal                    0.012221097  0.0044585160
## native_country_puerto_rico                -0.018213628  0.0106932537
## native_country_scotland                   -0.007172810 -0.0199686967
## native_country_south                       0.010546279 -0.0342226132
## native_country_taiwan                     -0.025963402 -0.0247669718
## native_country_thailand                    0.004545346 -0.0096077328
## native_country_trinadad&tobago            -0.025032979 -0.0261337215
## native_country_united_states              -0.057107645 -0.1830044112
## native_country_vietnam                    -0.018082027  0.0212426953
## native_country_yugoslavia                 -0.008966587 -0.0201629413
##                                                    PC91          PC92
## l_capital_gain                             0.0571063465 -0.0248994082
## l_capital_loss                             0.0375425687 -0.0130959309
## age                                       -0.0183154071  0.1104662418
## fnlwgt                                    -0.0067262194  0.0529172657
## education_num                             -0.0474951538  0.2428784639
## hours_per_week                            -0.0194283344 -0.0200385828
## workclass_federal_gov                      0.0121017630  0.0546318753
## workclass_local_gov                       -0.0771127941  0.0698752896
## workclass_private                          0.0022163149 -0.0272811306
## workclass_self_emp_inc                     0.0478458857 -0.0070594699
## workclass_self_emp_not_inc                 0.0453964972 -0.0788103899
## workclass_state_gov                       -0.0259060532  0.0410654308
## workclass_without_pay                      0.0054256821 -0.0129089962
## education_1st_4th                         -0.0975337854  0.0638118629
## education_5th_6th                         -0.1300667227  0.0541877135
## education_7th_8th                         -0.0389225716  0.0057965544
## education_9th                             -0.0137149175 -0.0040229882
## education_10th                             0.0130308465 -0.0394895418
## education_11th                             0.0244223011 -0.0517763207
## education_12th                             0.0342754707 -0.0441410403
## education_assoc_acdm                       0.0404517290 -0.0349169704
## education_assoc_voc                        0.0183770238 -0.0431397412
## education_bachelors                       -0.0297789104  0.1336946924
## education_doctorate                       -0.0916201015  0.1500002457
## education_hs_grad                          0.0899130179 -0.1788438643
## education_masters                         -0.0940023476  0.1930576329
## education_preschool                       -0.0478958848  0.0389610663
## education_prof_school                     -0.1373084065  0.2415654369
## education_some_college                     0.0614051730 -0.0817461555
## marital_status_divorced                   -0.0284938804 -0.0479434238
## marital_status_married_af_spouse           0.0489180897  0.0059789217
## marital_status_married_civ_spouse          0.0988822045  0.0269433609
## marital_status_married_spouse_absent       0.0010799282 -0.0106710212
## marital_status_never_married              -0.0526038518  0.0444613166
## marital_status_separated                  -0.0067079132 -0.0093544081
## marital_status_widowed                    -0.0912594581 -0.0904919980
## occupation_adm_clerical                   -0.1559587293 -0.0690478378
## occupation_armed_forces                    0.0151119904 -0.0107689485
## occupation_craft_repair                    0.0280913223  0.2667864951
## occupation_exec_managerial                 0.0272513787 -0.1897742070
## occupation_farming_fishing                 0.0260603252  0.1679402887
## occupation_handlers_cleaners               0.0816467857  0.2040852977
## occupation_machine_op_inspct              -0.0294582971  0.1947303448
## occupation_other_service                  -0.1089708348  0.1081325912
## occupation_priv_house_serv                -0.0939589925  0.0054205461
## occupation_prof_specialty                  0.2200707690 -0.5650956193
## occupation_protective_serv                 0.0512390751 -0.0002199290
## occupation_sales                          -0.0902169473  0.0001312755
## occupation_tech_support                   -0.0152079661 -0.0500708195
## occupation_transport_moving                0.0356984437  0.1940511412
## relationship_husband                       0.3089906537  0.0789178600
## relationship_not_in_family                 0.0507599820 -0.0087989753
## relationship_other_relative               -0.0206373463  0.0013643118
## relationship_own_child                     0.0281477242  0.0011596024
## relationship_unmarried                    -0.2466150327 -0.0320668455
## relationship_wife                         -0.4996191055 -0.1227417846
## race_amer_indian_eskimo                    0.0048083646  0.0270041920
## race_asian_pac_islander                   -0.0052120825 -0.0118143529
## race_black                                 0.0416747773 -0.0383899573
## race_other                                -0.0445773779  0.0301191435
## race_white                                -0.0225170916  0.0226880532
## sex_female                                 0.3892712018  0.1953545763
## sex_male                                  -0.3892712018 -0.1953545763
## native_country_cambodia                   -0.0019567747  0.0079474714
## native_country_canada                     -0.0200145288  0.0107853834
## native_country_china                      -0.0034684239  0.0112426377
## native_country_columbia                    0.0018234604 -0.0097019778
## native_country_cuba                       -0.0111949173 -0.0092653329
## native_country_dominican_republic          0.0160227187 -0.0211488284
## native_country_ecuador                     0.0002750262 -0.0074586454
## native_country_el_salvador                 0.0660673793 -0.0191126723
## native_country_england                    -0.0109497821  0.0163226525
## native_country_france                     -0.0041870751  0.0049394064
## native_country_germany                    -0.0402081330  0.0095593353
## native_country_greece                     -0.0170547964  0.0145179772
## native_country_guatemala                   0.0507883965 -0.0075968207
## native_country_haiti                      -0.0063464662  0.0052274863
## native_country_holand_netherlands         -0.0115650782 -0.0090348773
## native_country_honduras                    0.0214750958 -0.0022291983
## native_country_hong                        0.0089752775  0.0045662587
## native_country_hungary                    -0.0161118902 -0.0003737242
## native_country_india                       0.0131105851  0.0031945119
## native_country_iran                        0.0083355423  0.0048130902
## native_country_ireland                    -0.0202395082  0.0116863844
## native_country_italy                      -0.0055167373  0.0003324916
## native_country_jamaica                    -0.0472985004  0.0218099633
## native_country_japan                      -0.0130321698  0.0113562739
## native_country_laos                        0.0167786037 -0.0120873866
## native_country_mexico                      0.1440373955 -0.0616071152
## native_country_nicaragua                   0.0156220006 -0.0154880182
## native_country_outlying_us(guam_usvi_etc) -0.0081923786  0.0042874983
## native_country_peru                       -0.0073482881 -0.0049488003
## native_country_philippines                -0.0035008530 -0.0080371524
## native_country_poland                     -0.0131302138 -0.0155929880
## native_country_portugal                    0.0118807397 -0.0066614782
## native_country_puerto_rico                 0.0245763206  0.0034651432
## native_country_scotland                    0.0051661195  0.0097587480
## native_country_south                      -0.0172381705  0.0179043930
## native_country_taiwan                     -0.0003207706  0.0023142496
## native_country_thailand                   -0.0056428844  0.0037006553
## native_country_trinadad&tobago            -0.0146744278  0.0050656273
## native_country_united_states              -0.0653626796  0.0234497527
## native_country_vietnam                    -0.0065690021  0.0074474286
## native_country_yugoslavia                 -0.0074432667  0.0046263073
##                                                      PC93          PC94
## l_capital_gain                             0.049053114227 -0.0015510352
## l_capital_loss                             0.012719717913  0.0059408533
## age                                       -0.771691470374 -0.0003497070
## fnlwgt                                    -0.042474773685  0.0267458496
## education_num                              0.002480908321  0.0091465905
## hours_per_week                            -0.148497912171  0.0027088786
## workclass_federal_gov                      0.008668891064 -0.0039766452
## workclass_local_gov                       -0.000004782895  0.0004126133
## workclass_private                         -0.049544876730  0.0006636099
## workclass_self_emp_inc                     0.050368382464  0.0017861463
## workclass_self_emp_not_inc                 0.059540084713  0.0036793297
## workclass_state_gov                       -0.029318659107 -0.0054895241
## workclass_without_pay                      0.015238446740  0.0024510824
## education_1st_4th                          0.081773691187 -0.0076949841
## education_5th_6th                          0.110541022249 -0.0191369301
## education_7th_8th                          0.082243253889  0.0015934207
## education_9th                              0.030503469399 -0.0007121091
## education_10th                            -0.004005330259  0.0017936174
## education_11th                            -0.061407212289  0.0088904149
## education_12th                            -0.021820614636  0.0006727541
## education_assoc_acdm                      -0.027671249544 -0.0052472763
## education_assoc_voc                       -0.035694176789 -0.0055273344
## education_bachelors                        0.009267031598 -0.0013712242
## education_doctorate                        0.084953928341  0.0117212923
## education_hs_grad                         -0.040827309575  0.0003360793
## education_masters                          0.090540527600  0.0068705085
## education_preschool                        0.048579978191  0.0023546848
## education_prof_school                      0.058296902944  0.0068372575
## education_some_college                    -0.068913956708 -0.0027261651
## marital_status_divorced                    0.170621256891  0.0007462825
## marital_status_married_af_spouse          -0.015175018703  0.0014008331
## marital_status_married_civ_spouse          0.076449781131  0.0020784176
## marital_status_married_spouse_absent       0.028032104987  0.0019546370
## marital_status_never_married              -0.334575871602 -0.0032024480
## marital_status_separated                   0.045191301184  0.0028455236
## marital_status_widowed                     0.293958923712 -0.0032864898
## occupation_adm_clerical                    0.042043037070 -0.0017442155
## occupation_armed_forces                   -0.007321813612  0.0010617158
## occupation_craft_repair                   -0.008691812627  0.0059125123
## occupation_exec_managerial                 0.019013406631 -0.0096502530
## occupation_farming_fishing                 0.029115360696 -0.0034220511
## occupation_handlers_cleaners              -0.011761673501  0.0049632145
## occupation_machine_op_inspct              -0.008284046320  0.0119372813
## occupation_other_service                  -0.011166088703  0.0089843975
## occupation_priv_house_serv                 0.011804293819 -0.0006980182
## occupation_prof_specialty                 -0.066270516969 -0.0105491609
## occupation_protective_serv                -0.001774020378  0.0007992309
## occupation_sales                           0.004210841585  0.0007194084
## occupation_tech_support                   -0.002698292117 -0.0056354201
## occupation_transport_moving                0.030052735499 -0.0003213710
## relationship_husband                       0.090470829530  0.0020064938
## relationship_not_in_family                 0.077074404274  0.0013313553
## relationship_other_relative                0.001146991070 -0.0018026852
## relationship_own_child                    -0.101940323352 -0.0125086182
## relationship_unmarried                    -0.099510134539  0.0073552943
## relationship_wife                         -0.056312469475  0.0042668967
## race_amer_indian_eskimo                   -0.019295198871 -0.0482266607
## race_asian_pac_islander                    0.000044304313  0.6634459375
## race_black                                 0.042894461158 -0.1671310581
## race_other                                -0.023184525550 -0.0438585269
## race_white                                -0.024721956724 -0.1550566089
## sex_female                                 0.008072416782  0.0015905794
## sex_male                                  -0.008072416782 -0.0015905794
## native_country_cambodia                    0.000701332361 -0.1053724179
## native_country_canada                      0.030038927343  0.0451138577
## native_country_china                      -0.008707895956 -0.2463944580
## native_country_columbia                    0.014563261053  0.0335584763
## native_country_cuba                        0.023695165479  0.0432832160
## native_country_dominican_republic          0.000968792530  0.0361775262
## native_country_ecuador                     0.001573490783  0.0254965992
## native_country_el_salvador                -0.026859642960  0.0477590510
## native_country_england                     0.010268201261  0.0365340227
## native_country_france                      0.003977967762  0.0179123481
## native_country_germany                     0.010098951188  0.0464436373
## native_country_greece                      0.016583932209  0.0227483374
## native_country_guatemala                  -0.026994600203  0.0332957299
## native_country_haiti                      -0.005979138173  0.0334656874
## native_country_holand_netherlands          0.004559361260  0.0036620349
## native_country_honduras                   -0.005442117101  0.0170624513
## native_country_hong                       -0.010135393209 -0.1006318318
## native_country_hungary                     0.011894625165  0.0157817212
## native_country_india                      -0.014509537393 -0.2298937324
## native_country_iran                       -0.003227036323 -0.0056259000
## native_country_ireland                     0.013274972332  0.0180211228
## native_country_italy                       0.007176203334  0.0387828582
## native_country_jamaica                     0.006554976144  0.0450672293
## native_country_japan                      -0.005155861641 -0.1165637342
## native_country_laos                       -0.004173005615 -0.1092429611
## native_country_mexico                     -0.115342432978  0.1160043392
## native_country_nicaragua                   0.001737397490  0.0216587988
## native_country_outlying_us(guam_usvi_etc)  0.009476830813  0.0013928285
## native_country_peru                        0.016281132794  0.0239823630
## native_country_philippines                 0.017917951149 -0.3718358104
## native_country_poland                      0.016239132587  0.0301637372
## native_country_portugal                   -0.007573908371  0.0266696318
## native_country_puerto_rico                 0.018414455957  0.0486387612
## native_country_scotland                    0.022831285542  0.0171375372
## native_country_south                       0.000375005756 -0.2314371611
## native_country_taiwan                     -0.016694707334 -0.1665976743
## native_country_thailand                   -0.001042499985 -0.1027960625
## native_country_trinadad&tobago             0.001312524601  0.0004290864
## native_country_united_states               0.037565421151  0.1643107328
## native_country_vietnam                    -0.001455644131 -0.2102767414
## native_country_yugoslavia                  0.000433480565  0.0181718774
##                                                      PC95
## l_capital_gain                             0.000879518157
## l_capital_loss                            -0.000189477690
## age                                       -0.005604428582
## fnlwgt                                     0.000922004426
## education_num                             -0.000760562695
## hours_per_week                             0.001381669166
## workclass_federal_gov                     -0.000620617076
## workclass_local_gov                        0.000454360490
## workclass_private                         -0.000617366760
## workclass_self_emp_inc                    -0.000276213407
## workclass_self_emp_not_inc                 0.000492642944
## workclass_state_gov                        0.000520389448
## workclass_without_pay                      0.003452580797
## education_1st_4th                          0.001947522225
## education_5th_6th                          0.000464110039
## education_7th_8th                         -0.000752436258
## education_9th                              0.000008256579
## education_10th                            -0.000511327844
## education_11th                             0.000437070964
## education_12th                             0.001296957940
## education_assoc_acdm                       0.000227761149
## education_assoc_voc                        0.000182767166
## education_bachelors                        0.000442185944
## education_doctorate                       -0.000358386407
## education_hs_grad                         -0.000003270294
## education_masters                          0.000018654812
## education_preschool                        0.002173722312
## education_prof_school                     -0.000833776210
## education_some_college                    -0.000993929290
## marital_status_divorced                    0.234589506592
## marital_status_married_af_spouse          -0.027126816942
## marital_status_married_civ_spouse         -0.538844094915
## marital_status_married_spouse_absent       0.072156217886
## marital_status_never_married               0.302562507910
## marital_status_separated                   0.116616716454
## marital_status_widowed                     0.112448607848
## occupation_adm_clerical                   -0.000011153372
## occupation_armed_forces                    0.001778149882
## occupation_craft_repair                    0.000278758665
## occupation_exec_managerial                -0.000227988590
## occupation_farming_fishing                -0.000532189323
## occupation_handlers_cleaners              -0.000110555268
## occupation_machine_op_inspct               0.000234646562
## occupation_other_service                  -0.000337455198
## occupation_priv_house_serv                 0.002056511267
## occupation_prof_specialty                 -0.000294603053
## occupation_protective_serv                 0.001155128880
## occupation_sales                          -0.000231034295
## occupation_tech_support                   -0.000460948266
## occupation_transport_moving                0.000267929049
## relationship_husband                       0.521546701494
## relationship_not_in_family                -0.310642301022
## relationship_other_relative               -0.080867258429
## relationship_own_child                    -0.238633036431
## relationship_unmarried                    -0.223850323601
## relationship_wife                          0.220444480071
## race_amer_indian_eskimo                    0.000103594179
## race_asian_pac_islander                    0.002017583193
## race_black                                -0.000796445896
## race_other                                 0.001342247849
## race_white                                -0.000674562148
## sex_female                                 0.003800085106
## sex_male                                  -0.003800085106
## native_country_cambodia                    0.003340351106
## native_country_canada                      0.000054980352
## native_country_china                       0.003375518370
## native_country_columbia                    0.001540535448
## native_country_cuba                        0.000088453570
## native_country_dominican_republic         -0.000950318480
## native_country_ecuador                     0.002993349344
## native_country_el_salvador                -0.000549670609
## native_country_england                     0.000102430570
## native_country_france                     -0.000234548798
## native_country_germany                    -0.001016585778
## native_country_greece                      0.001700725311
## native_country_guatemala                  -0.002633400835
## native_country_haiti                      -0.000649162397
## native_country_holand_netherlands         -0.001085613779
## native_country_honduras                   -0.000869186413
## native_country_hong                       -0.001186202781
## native_country_hungary                    -0.000390274892
## native_country_india                       0.000680818687
## native_country_iran                       -0.000650244159
## native_country_ireland                     0.001019668964
## native_country_italy                       0.000619927156
## native_country_jamaica                    -0.000628730634
## native_country_japan                      -0.000071687053
## native_country_laos                       -0.000806465438
## native_country_mexico                      0.001655747094
## native_country_nicaragua                   0.000330088851
## native_country_outlying_us(guam_usvi_etc) -0.000320083911
## native_country_peru                       -0.000826859698
## native_country_philippines                 0.003107910760
## native_country_poland                      0.001042663239
## native_country_portugal                   -0.000796748460
## native_country_puerto_rico                -0.001489825098
## native_country_scotland                   -0.000315033004
## native_country_south                       0.001033649600
## native_country_taiwan                      0.000008605742
## native_country_thailand                    0.000556615672
## native_country_trinadad&tobago            -0.000652759692
## native_country_united_states              -0.001919592600
## native_country_vietnam                    -0.000434942091
## native_country_yugoslavia                 -0.000377080784
##                                                                PC96
## l_capital_gain                            -0.0000000000001310580581
## l_capital_loss                            -0.0000000000000085431135
## age                                       -0.0000000000000250394357
## fnlwgt                                     0.0000000000000004747822
## education_num                             -0.1133209923390610662786
## hours_per_week                            -0.0000000000000003951004
## workclass_federal_gov                      0.1030024071302968607933
## workclass_local_gov                        0.1499593981151737809299
## workclass_private                          0.2614286207775670667353
## workclass_self_emp_inc                     0.1111416772302864369726
## workclass_self_emp_not_inc                 0.1645651811321228730201
## workclass_state_gov                        0.1204296221804726230165
## workclass_without_pay                      0.0127856266541027680655
## education_1st_4th                         -0.0514847030541254330194
## education_5th_6th                         -0.0686331283364895461396
## education_7th_8th                         -0.0865977382344785412416
## education_9th                             -0.0732270378760430801224
## education_10th                            -0.0906871484023610008318
## education_11th                            -0.0956232323892797497766
## education_12th                            -0.0527817879567164180421
## education_assoc_acdm                      -0.0525387484308628763263
## education_assoc_voc                       -0.0686280824129253258503
## education_bachelors                       -0.0927102280763292818655
## education_doctorate                       -0.0125548744510893626330
## education_hs_grad                         -0.1997779562734244562794
## education_masters                         -0.0467302015031658621314
## education_preschool                       -0.0311389203739468739540
## education_prof_school                     -0.0208383968726603523158
## education_some_college                    -0.1577513569025452144778
## marital_status_divorced                    0.3563985630296477302714
## marital_status_married_af_spouse           0.0273747994940679584275
## marital_status_married_civ_spouse          0.5135039409276636046542
## marital_status_married_spouse_absent       0.1130400399059624250153
## marital_status_never_married               0.4813183561274465560587
## marital_status_separated                   0.1789822144356116306874
## marital_status_widowed                     0.1705316405543277902268
## occupation_adm_clerical                   -0.0153501612889478805668
## occupation_armed_forces                   -0.0008236315025976631565
## occupation_craft_repair                   -0.0159042664186168254681
## occupation_exec_managerial                -0.0158639198941963738276
## occupation_farming_fishing                -0.0083299320775819529761
## occupation_handlers_cleaners              -0.0097305032394731528350
## occupation_machine_op_inspct              -0.0115974669770867056667
## occupation_other_service                  -0.0144314321686524332788
## occupation_priv_house_serv                -0.0033447470038836420170
## occupation_prof_specialty                 -0.0158908386719326527592
## occupation_protective_serv                -0.0068033560588256943025
## occupation_sales                          -0.0151913906506459320256
## occupation_tech_support                   -0.0081649292705032912310
## occupation_transport_moving               -0.0103202347494883665130
## relationship_husband                      -0.0383256431986747914120
## relationship_not_in_family                -0.0340929469931488746126
## relationship_other_relative               -0.0132430229684120867595
## relationship_own_child                    -0.0275282976862032853493
## relationship_unmarried                    -0.0239515109561170662367
## relationship_wife                         -0.0163476101201601754787
## race_amer_indian_eskimo                    0.0052633748576849173628
## race_asian_pac_islander                    0.0090207389724977805889
## race_black                                 0.0156989759604693468464
## race_other                                 0.0047457432058139598086
## race_white                                 0.0186964611314004471032
## sex_female                                -0.0006848463632354861996
## sex_male                                  -0.0006848463632346778185
## native_country_cambodia                   -0.0029559159696628447417
## native_country_canada                     -0.0073899242489085022884
## native_country_china                      -0.0061563915211549488302
## native_country_columbia                   -0.0052461791058906878313
## native_country_cuba                       -0.0066775405206920806361
## native_country_dominican_republic         -0.0057049242792899402393
## native_country_ecuador                    -0.0038006505876554790013
## native_country_el_salvador                -0.0070191083260531857840
## native_country_england                    -0.0063173015123383115255
## native_country_france                     -0.0034778320807356362040
## native_country_germany                    -0.0080385962383959473632
## native_country_greece                     -0.0040568870522507639517
## native_country_guatemala                  -0.0053723731496667891105
## native_country_haiti                      -0.0048130819966617274103
## native_country_holand_netherlands         -0.0005798631238308159502
## native_country_honduras                   -0.0025270616653417891928
## native_country_hong                       -0.0030674310978896345697
## native_country_hungary                    -0.0024596884145063743418
## native_country_india                      -0.0070191083260533887467
## native_country_iran                       -0.0043366586445525434623
## native_country_ireland                    -0.0034778320807356383725
## native_country_italy                      -0.0057922804385756622436
## native_country_jamaica                    -0.0058783271843772071097
## native_country_japan                      -0.0054650924648775448325
## native_country_laos                       -0.0026566789748370539526
## native_country_mexico                     -0.0172502050293751318932
## native_country_nicaragua                  -0.0040153212974052346351
## native_country_outlying_us(guam_usvi_etc) -0.0027191675428811998283
## native_country_peru                       -0.0038879472212585905466
## native_country_philippines                -0.0097243443585326456297
## native_country_poland                     -0.0052141498368847407144
## native_country_portugal                   -0.0045627662579768926698
## native_country_puerto_rico                -0.0076560960095025162170
## native_country_scotland                   -0.0025926818843432231088
## native_country_south                      -0.0058211052918913167020
## native_country_taiwan                     -0.0042978116365427667528
## native_country_thailand                   -0.0031216915917598917450
## native_country_trinadad&tobago            -0.0029559159696629488251
## native_country_united_states              -0.0347363869803946415105
## native_country_vietnam                    -0.0052780126022642787076
## native_country_yugoslavia                 -0.0027802493064747828798
##                                                                PC97
## l_capital_gain                            -0.0000000000000024617316
## l_capital_loss                            -0.0000000000000313248462
## age                                        0.0000000000000110029708
## fnlwgt                                     0.0000000000000001283902
## education_num                             -0.3676623154026510964520
## hours_per_week                             0.0000000000000006013695
## workclass_federal_gov                      0.0385341873983428909178
## workclass_local_gov                        0.0561012476320381370254
## workclass_private                          0.0978029518435394873421
## workclass_self_emp_inc                     0.0415791663270589015311
## workclass_self_emp_not_inc                 0.0615654110002079660302
## workclass_state_gov                        0.0450538755229635684563
## workclass_without_pay                      0.0047832254334717917710
## education_1st_4th                         -0.1101767843087280707159
## education_5th_6th                         -0.1420134412552440383859
## education_7th_8th                         -0.1722116275540468144367
## education_9th                             -0.1388577095721504894854
## education_10th                            -0.1622590204811449332567
## education_11th                            -0.1590890238700397585347
## education_12th                            -0.0799381471549488881179
## education_assoc_acdm                      -0.0244391465488045210586
## education_assoc_voc                       -0.0570387703525367176227
## education_bachelors                        0.0029327476918046368852
## education_doctorate                        0.0479585964848639606517
## education_hs_grad                         -0.2665428667441452903475
## education_masters                          0.0347997512638410499974
## education_preschool                       -0.0685916661879617112207
## education_prof_school                      0.0386452849984119106708
## education_some_college                    -0.1754083713375498287945
## marital_status_divorced                   -0.1108307463601321957158
## marital_status_married_af_spouse          -0.0085128554772931960132
## marital_status_married_civ_spouse         -0.1596864604281475752412
## marital_status_married_spouse_absent      -0.0351525322797510766937
## marital_status_never_married              -0.1496775749962782342539
## marital_status_separated                  -0.0556588450931474465477
## marital_status_widowed                    -0.0530309349173248914533
## occupation_adm_clerical                    0.0660957350737179788469
## occupation_armed_forces                    0.0035464467486259606752
## occupation_craft_repair                    0.0684816374212035838820
## occupation_exec_managerial                 0.0683079107000943985817
## occupation_farming_fishing                 0.0358675699504447109689
## occupation_handlers_cleaners               0.0418982414675475658972
## occupation_machine_op_inspct               0.0499371368427095618792
## occupation_other_service                   0.0621398107419443568311
## occupation_priv_house_serv                 0.0144020318546403559151
## occupation_prof_specialty                  0.0684238193454994592102
## occupation_protective_serv                 0.0292943384249743921099
## occupation_sales                           0.0654120900064666388474
## occupation_tech_support                    0.0351570900005721068138
## occupation_transport_moving                0.0444375462290327663539
## relationship_husband                       0.3879428328107763501720
## relationship_not_in_family                 0.3450983031602963269080
## relationship_other_relative                0.1340495662058842074593
## relationship_own_child                     0.2786490948497288289154
## relationship_unmarried                     0.2424438635575343059525
## relationship_wife                          0.1654750618750341351060
## race_amer_indian_eskimo                    0.0138498232701494399660
## race_asian_pac_islander                    0.0237367932008159220059
## race_black                                 0.0413096251841784806169
## race_other                                 0.0124877491083624607426
## race_white                                 0.0491970816156159715393
## sex_female                                 0.0020133542228031437414
## sex_male                                   0.0020133542228028692214
## native_country_cambodia                   -0.0098914896211792033981
## native_country_canada                     -0.0247291735487717503905
## native_country_china                      -0.0206013579074658566281
## native_country_columbia                   -0.0175554808422660295342
## native_country_cuba                       -0.0223452978478824552944
## native_country_dominican_republic         -0.0190905965789832897384
## native_country_ecuador                    -0.0127182559407497640380
## native_country_el_salvador                -0.0234882986761654893870
## native_country_england                    -0.0211398168907623446033
## native_country_france                     -0.0116379965749583286216
## native_country_germany                    -0.0268998483302661899053
## native_country_greece                     -0.0135757093853416735407
## native_country_guatemala                  -0.0179777685822000883598
## native_country_haiti                      -0.0161061921598838787839
## native_country_holand_netherlands         -0.0019404171600084665992
## native_country_honduras                   -0.0084563987918975184327
## native_country_hong                       -0.0102646567696303009365
## native_country_hungary                    -0.0082309452207463378037
## native_country_india                      -0.0234882986761650036645
## native_country_iran                       -0.0145119192877738358710
## native_country_ireland                    -0.0116379965749578186129
## native_country_italy                      -0.0193829196868761689798
## native_country_jamaica                    -0.0196708610565778443946
## native_country_japan                      -0.0182880386147396233054
## native_country_laos                       -0.0088901419309975263094
## native_country_mexico                     -0.0577249914282026918566
## native_country_nicaragua                  -0.0134366163810516053845
## native_country_outlying_us(guam_usvi_etc) -0.0090992497096334858803
## native_country_peru                       -0.0130103798556755086147
## native_country_philippines                -0.0325409288634700838427
## native_country_poland                     -0.0174483001290121758631
## native_country_portugal                   -0.0152685514567561866905
## native_country_puerto_rico                -0.0256198738374087374436
## native_country_scotland                   -0.0086759861285654344548
## native_country_south                      -0.0194793773468134069626
## native_country_taiwan                     -0.0143819241253649032775
## native_country_thailand                   -0.0104462306429968752874
## native_country_trinadad&tobago            -0.0098914896211791825814
## native_country_united_states              -0.1162396410521174677788
## native_country_vietnam                    -0.0176620064344061716843
## native_country_yugoslavia                 -0.0093036498471309111991
##                                                                 PC98
## l_capital_gain                            -0.00000000000000711378246
## l_capital_loss                             0.00000000000000438462562
## age                                        0.00000000000002105990309
## fnlwgt                                     0.00000000000000014746745
## education_num                              0.07115317483615653249007
## hours_per_week                             0.00000000000000007024819
## workclass_federal_gov                      0.23380892296546412767455
## workclass_local_gov                        0.34039831047351232218290
## workclass_private                          0.59342636700740247768238
## workclass_self_emp_inc                     0.25228454920394965954600
## workclass_self_emp_not_inc                 0.37355251037430103888681
## workclass_state_gov                        0.27336759440519875496989
## workclass_without_pay                      0.02902256054708250709862
## education_1st_4th                          0.02575913686042425806977
## education_5th_6th                          0.03377751006137189038192
## education_7th_8th                          0.04181325841906491369571
## education_9th                              0.03457598693983635756988
## education_10th                             0.04169897113184294762389
## education_11th                             0.04258242332902022891927
## education_12th                             0.02259489745455385209527
## education_assoc_acdm                       0.01612316397630951872455
## education_assoc_voc                        0.02396154731609259971870
## education_bachelors                        0.02313125773843037816246
## education_doctorate                       -0.00236095986828523292378
## education_hs_grad                          0.08136069974154400141764
## education_masters                          0.00781053529923663499707
## education_preschool                        0.01580537886645695666576
## education_prof_school                      0.00081174917095233460086
## education_some_college                     0.06019533181453858711185
## marital_status_divorced                   -0.15800038801891941320221
## marital_status_married_af_spouse          -0.01213593260656058159253
## marital_status_married_civ_spouse         -0.22764912749961296878354
## marital_status_married_spouse_absent      -0.05011347412568128295574
## marital_status_never_married              -0.21338045356383475437134
## marital_status_separated                  -0.07934728773572455318153
## marital_status_widowed                    -0.07560093718684669783503
## occupation_adm_clerical                   -0.01662807591394751746683
## occupation_armed_forces                   -0.00089219956015555636642
## occupation_craft_repair                   -0.01722831079011618096719
## occupation_exec_managerial                -0.01718460538153484401525
## occupation_farming_fishing                -0.00902340635624422453265
## occupation_handlers_cleaners              -0.01054057631715986723120
## occupation_machine_op_inspct              -0.01256296645191474874170
## occupation_other_service                  -0.01563286177456036166178
## occupation_priv_house_serv                -0.00362320017663710341321
## occupation_prof_specialty                 -0.01721376517153823740292
## occupation_protective_serv                -0.00736974152168990738476
## occupation_sales                          -0.01645608747832790624832
## occupation_tech_support                   -0.00884466691823596398714
## occupation_transport_moving               -0.01117940350162982196536
## relationship_husband                      -0.10534406616249904209415
## relationship_not_in_family                -0.09370983404252411497204
## relationship_other_relative               -0.03640053424658797054381
## relationship_own_child                    -0.07566586156854727962529
## relationship_unmarried                    -0.06583449993972255442909
## relationship_wife                         -0.04493398096855648338188
## race_amer_indian_eskimo                    0.00012477497092454824766
## race_asian_pac_islander                    0.00021384804872283603083
## race_black                                 0.00037216411940732747367
## race_other                                 0.00011250385665723550838
## race_white                                 0.00044322330389626857748
## sex_female                                 0.00887682296107714617628
## sex_male                                   0.00887682296107721729994
## native_country_cambodia                    0.00019953301060879972940
## native_country_canada                      0.00049884159383712083774
## native_country_china                       0.00041557451135604484482
## native_country_columbia                    0.00035413249968342961965
## native_country_cuba                        0.00045075359963870026501
## native_country_dominican_republic          0.00038509914639786824121
## native_country_ecuador                     0.00025655507863205952168
## native_country_el_salvador                 0.00047381042981622874298
## native_country_england                     0.00042643640841501917861
## native_country_france                      0.00023476388117355391190
## native_country_germany                     0.00054262885852531894757
## native_country_greece                      0.00027385179265675168225
## native_country_guatemala                   0.00036265096831837590049
## native_country_haiti                       0.00032489717263857958258
## native_country_holand_netherlands          0.00003914246413862340119
## native_country_honduras                    0.00017058408535777390067
## native_country_hong                        0.00020706060932658513227
## native_country_hungary                     0.00016603619302541910161
## native_country_india                       0.00047381042981602106406
## native_country_iran                        0.00029273719693346947693
## native_country_ireland                     0.00023476388117352520765
## native_country_italy                       0.00039099594374831072099
## native_country_jamaica                     0.00039680435184217388968
## native_country_japan                       0.00036890979444722805632
## native_country_laos                        0.00017933363448442078518
## native_country_mexico                      0.00116443950993676834452
## native_country_nicaragua                   0.00027104598211032040079
## native_country_outlying_us(guam_usvi_etc)  0.00018355179638021205208
## native_country_peru                        0.00026244785782395565728
## native_country_philippines                 0.00065642180832194824396
## native_country_poland                      0.00035197042994326269323
## native_country_portugal                    0.00030800012500398964111
## native_country_puerto_rico                 0.00051680896952552702987
## native_country_scotland                    0.00017501364289221240647
## native_country_south                       0.00039294170601682741617
## native_country_taiwan                      0.00029011490978423412190
## native_country_thailand                    0.00021072335204674788166
## native_country_trinadad&tobago             0.00019953301060854046955
## native_country_united_states               0.00234480815523931520120
## native_country_vietnam                     0.00035628135419579266309
## native_country_yugoslavia                  0.00018767499484327845503
##                                                                 PC99
## l_capital_gain                            -0.00000000000000047790877
## l_capital_loss                            -0.00000000000000058157418
## age                                       -0.00000000000000187018677
## fnlwgt                                     0.00000000000000009858096
## education_num                             -0.26534109481557655030315
## hours_per_week                            -0.00000000000000043587279
## workclass_federal_gov                     -0.03524616704774188868932
## workclass_local_gov                       -0.05131427646792969393674
## workclass_private                         -0.08945768449208016392937
## workclass_self_emp_inc                    -0.03803132597347500670759
## workclass_self_emp_not_inc                -0.05631219721969626251790
## workclass_state_gov                       -0.04120954741863390446976
## workclass_without_pay                     -0.00437508545106597875052
## education_1st_4th                         -0.09638994750854651405447
## education_5th_6th                         -0.12642989034714849361229
## education_7th_8th                         -0.15655951824705008346150
## education_9th                             -0.12951240354202586679833
## education_10th                            -0.15626815673076141499642
## education_11th                            -0.15967408508739536210363
## education_12th                            -0.08479003574132669418528
## education_assoc_acdm                      -0.06097363525068080769564
## education_assoc_voc                       -0.09031798542840448196234
## education_bachelors                       -0.08802363488355152698617
## education_doctorate                        0.00828937595050481534908
## education_hs_grad                         -0.30562247933139791156165
## education_masters                         -0.03020912023835848128628
## education_preschool                       -0.05912902810052728108658
## education_prof_school                     -0.00364411916434002457893
## education_some_college                    -0.22643101248733293884285
## marital_status_divorced                   -0.11745277732377222557059
## marital_status_married_af_spouse          -0.00902149044016279516578
## marital_status_married_civ_spouse         -0.16922757352318273937897
## marital_status_married_spouse_absent      -0.03725286242144910942020
## marital_status_never_married              -0.15862066677126065994408
## marital_status_separated                  -0.05898440778862852618136
## marital_status_widowed                    -0.05619948249628351627516
## occupation_adm_clerical                   -0.13500772825653017950032
## occupation_armed_forces                   -0.00724400323834416964841
## occupation_craft_repair                   -0.13988119332075285572436
## occupation_exec_managerial                -0.13952633759627633414091
## occupation_farming_fishing                -0.07326341301281798223943
## occupation_handlers_cleaners              -0.08558171555499376192966
## occupation_machine_op_inspct              -0.10200203376587441139733
## occupation_other_service                  -0.12692732251489152739410
## occupation_priv_house_serv                -0.02941771660160136248052
## occupation_prof_specialty                 -0.13976309361213679061109
## occupation_protective_serv                -0.05983687263819287283084
## occupation_sales                          -0.13361130884519500927610
## occupation_tech_support                   -0.07181218043484549617972
## occupation_transport_moving               -0.09076852173570698623095
## relationship_husband                      -0.31760368547958817142529
## relationship_not_in_family                -0.28252743359721588234379
## relationship_other_relative               -0.10974461354386025324636
## relationship_own_child                    -0.22812634232372169806879
## relationship_unmarried                    -0.19848559652432454236681
## relationship_wife                         -0.13547225276902602475460
## race_amer_indian_eskimo                    0.02384996471190251043915
## race_asian_pac_islander                    0.04087573315345888885775
## race_black                                 0.07113687183489600385222
## race_other                                 0.02150441704245145344010
## race_white                                 0.08471939587777682634240
## sex_female                                -0.16146221973191313137086
## sex_male                                  -0.16146221973191102194711
## native_country_cambodia                   -0.00870904652425654769721
## native_country_canada                     -0.02177301207307820452019
## native_country_china                      -0.01813864153431613349121
## native_country_columbia                   -0.01545687305616950425746
## native_country_cuba                       -0.01967410835056540227561
## native_country_dominican_republic         -0.01680847881861829290484
## native_country_ecuador                    -0.01119789707489847116473
## native_country_el_salvador                -0.02068047319266814662586
## native_country_england                    -0.01861273234535961232372
## native_country_france                     -0.01024677348934689528892
## native_country_germany                    -0.02368420122507294486858
## native_country_greece                     -0.01195284928405276718422
## native_country_guatemala                  -0.01582867990372877411986
## native_country_haiti                      -0.01418083445679413877316
## native_country_holand_netherlands         -0.00170845686243226808562
## native_country_honduras                   -0.00744550854591300576013
## native_country_hong                       -0.00903760472748421118949
## native_country_hungary                    -0.00724700602350136953433
## native_country_india                      -0.02068047319266797315351
## native_country_iran                       -0.01277714328920324417249
## native_country_ireland                    -0.01024677348934619793008
## native_country_italy                      -0.01706585719581456966898
## native_country_jamaica                    -0.01731937763419482897986
## native_country_japan                      -0.01610185980402167524317
## native_country_laos                       -0.00782740139751242867960
## native_country_mexico                     -0.05082446175590132203537
## native_country_nicaragua                  -0.01183038366037462985059
## native_country_outlying_us(guam_usvi_etc) -0.00801151212728843514777
## native_country_peru                       -0.01145510007094534959959
## native_country_philippines                -0.02865093876332588246347
## native_country_poland                     -0.01536250488171059247478
## native_country_portugal                   -0.01344332654509099167495
## native_country_puerto_rico                -0.02255723675004699113611
## native_country_scotland                   -0.00763884609206848946839
## native_country_south                      -0.01715078416639126066001
## native_country_taiwan                     -0.01266268793811808207606
## native_country_thailand                   -0.00919747299518725545953
## native_country_trinadad&tobago            -0.00870904652425610881217
## native_country_united_states              -0.10234418481501336706252
## native_country_vietnam                    -0.01555066442364854556457
## native_country_yugoslavia                 -0.00819147797421360124304
##                                                               PC100
## l_capital_gain                             0.0000000000000000000000
## l_capital_loss                             0.0000000000000001614242
## age                                        0.0000000000000011065637
## fnlwgt                                    -0.0000000000000006257349
## education_num                              0.0911662438947154762925
## hours_per_week                            -0.0000000000000007971054
## workclass_federal_gov                      0.0125389165122214343157
## workclass_local_gov                        0.0182551886463255194637
## workclass_private                          0.0318248062464065520349
## workclass_self_emp_inc                     0.0135297441161348497990
## workclass_self_emp_not_inc                 0.0200332120823549439392
## workclass_state_gov                        0.0146604047438341732190
## workclass_without_pay                      0.0015564481417352769334
## education_1st_4th                          0.0264446577322659560905
## education_5th_6th                          0.0339726988680623190331
## education_7th_8th                          0.0410285009505450826151
## education_9th                              0.0329122860968803013226
## education_10th                             0.0382033194293470226843
## education_11th                             0.0371220668985710669507
## education_12th                             0.0184165608951342811561
## education_assoc_acdm                       0.0038130426774405316165
## education_assoc_voc                        0.0115948862386233818994
## education_bachelors                       -0.0054009059456377912778
## education_doctorate                       -0.0132566912549627550361
## education_hs_grad                          0.0602200824560386871465
## education_masters                         -0.0114975182971702536566
## education_preschool                        0.0165089894571969694748
## education_prof_school                     -0.0112175880037827246927
## education_some_college                     0.0383180113696844834581
## marital_status_divorced                    0.0227302357600339816068
## marital_status_married_af_spouse           0.0017458983029967692358
## marital_status_married_civ_spouse          0.0327500356392321570476
## marital_status_married_spouse_absent       0.0072094195205058145617
## marital_status_never_married               0.0306973171199308690615
## marital_status_separated                   0.0114150514423821229648
## marital_status_widowed                     0.0108760943405461288358
## occupation_adm_clerical                   -0.0141092345123835193055
## occupation_armed_forces                   -0.0007570480728634324842
## occupation_craft_repair                   -0.0146185450708777031625
## occupation_exec_managerial                -0.0145814602113697351637
## occupation_farming_fishing                -0.0076565296574096653598
## occupation_handlers_cleaners              -0.0089438768456527699413
## occupation_machine_op_inspct              -0.0106599128340888072569
## occupation_other_service                  -0.0132647766355182463588
## occupation_priv_house_serv                -0.0030743533552548426256
## occupation_prof_specialty                 -0.0146062028404999218190
## occupation_protective_serv                -0.0062533640069539885714
## occupation_sales                          -0.0139632990966375263031
## occupation_tech_support                   -0.0075048658894228525290
## occupation_transport_moving               -0.0094859337020933142542
## relationship_husband                       0.1140606688297014503775
## relationship_not_in_family                 0.1014637723431254245909
## relationship_other_relative                0.0394124646329857414306
## relationship_own_child                     0.0819267671400818325855
## relationship_unmarried                     0.0712819180874490615496
## relationship_wife                          0.0486520039443803370416
## race_amer_indian_eskimo                   -0.0018001941937725023535
## race_asian_pac_islander                   -0.0030852983800153175979
## race_black                                -0.0053694076778405914682
## race_other                                -0.0016231523680602746341
## race_white                                -0.0063946159418417133219
## sex_female                                -0.6762106288231641837427
## sex_male                                  -0.6762106288231549688916
## native_country_cambodia                    0.0077885026586399924708
## native_country_canada                      0.0194716105770555807097
## native_country_china                       0.0162213920227287644593
## native_country_columbia                    0.0138230857484737904711
## native_country_cuba                        0.0175945604111744299813
## native_country_dominican_republic          0.0150318271468512960898
## native_country_ecuador                     0.0100142823782279691280
## native_country_el_salvador                 0.0184945527612497377656
## native_country_england                     0.0166453715630796583724
## native_country_france                      0.0091636922988048742644
## native_country_germany                     0.0211807875518272813176
## native_country_greece                      0.0106894363427597321320
## native_country_guatemala                   0.0141555927126573791175
## native_country_haiti                       0.0126819240844407033625
## native_country_holand_netherlands          0.0015278734334655092678
## native_country_honduras                    0.0066585203033722520360
## native_country_hong                        0.0080823323485189769305
## native_country_hungary                     0.0064809994439708300262
## native_country_india                       0.0184945527612494463321
## native_country_iran                        0.0114266026941779452741
## native_country_ireland                     0.0091636922988047441602
## native_country_italy                       0.0152620006990869597208
## native_country_jamaica                     0.0154887240955968279177
## native_country_japan                       0.0143998975712655748194
## native_country_laos                        0.0070000471836929936686
## native_country_mexico                      0.0454523298741483158802
## native_country_nicaragua                   0.0105799153024310425147
## native_country_outlying_us(guam_usvi_etc)  0.0071646974590530631763
## native_country_peru                        0.0102442990870538971904
## native_country_philippines                 0.0256225422736226851606
## native_country_poland                      0.0137386922645700484263
## native_country_portugal                    0.0120223705598304902303
## native_country_puerto_rico                 0.0201729429174591842755
## native_country_scotland                    0.0068314221231123052613
## native_country_south                       0.0153379509118089750463
## native_country_taiwan                      0.0113242452427924165242
## native_country_thailand                    0.0082253025834999066862
## native_country_trinadad&tobago             0.0077885026586404027329
## native_country_united_states               0.0915264321195225633021
## native_country_vietnam                     0.0139069633937397869189
## native_country_yugoslavia                  0.0073256409645607910644
##                                                               PC101
## l_capital_gain                             0.0000000000000000000000
## l_capital_loss                            -0.0000000000000001196959
## age                                        0.0000000000000006536729
## fnlwgt                                     0.0000000000000001333481
## education_num                              0.0269013893800906511711
## hours_per_week                            -0.0000000000000007949370
## workclass_federal_gov                      0.0039778198066231897426
## workclass_local_gov                        0.0057912380946320285435
## workclass_private                          0.0100960353715982033285
## workclass_self_emp_inc                     0.0042921478958129234693
## workclass_self_emp_not_inc                 0.0063552945530666853785
## workclass_state_gov                        0.0046508363227633475051
## workclass_without_pay                      0.0004937643727145589207
## education_1st_4th                          0.0250937941015730754668
## education_5th_6th                          0.0345523259309744243395
## education_7th_8th                          0.0451749511960863048277
## education_9th                              0.0397311923588766907622
## education_10th                             0.0514021340249305111469
## education_11th                             0.0569167654501593137106
## education_12th                             0.0331994444665001109396
## education_assoc_acdm                       0.0455265273272939738347
## education_assoc_voc                        0.0537830886712727107568
## education_bachelors                        0.0907625901633584003525
## education_doctorate                        0.0230575799647717571972
## education_hs_grad                          0.1338133274736197642074
## education_masters                          0.0532914739780030871641
## education_preschool                        0.0147347235784887065080
## education_prof_school                      0.0289995178421332752694
## education_some_college                     0.1136006232140918253970
## marital_status_divorced                    0.0282287638347913094616
## marital_status_married_af_spouse           0.0021682375579011405921
## marital_status_married_civ_spouse          0.0406723903526950911202
## marital_status_married_spouse_absent       0.0089534047591417371958
## marital_status_never_married               0.0381231116337067202360
## marital_status_separated                   0.0141763945931253753513
## marital_status_widowed                     0.0135070617755755871536
## occupation_adm_clerical                   -0.2954112942294813137778
## occupation_armed_forces                   -0.0158506509195945888280
## occupation_craft_repair                   -0.3060749550479841540884
## occupation_exec_managerial                -0.3052984929136601244259
## occupation_farming_fishing                -0.1603081537425896374582
## occupation_handlers_cleaners              -0.1872619121954382792605
## occupation_machine_op_inspct              -0.2231913179930036517096
## occupation_other_service                  -0.2777305055156598090349
## occupation_priv_house_serv                -0.0643690983233379671047
## occupation_prof_specialty                 -0.3058165403022435890890
## occupation_protective_serv                -0.1309294528318101780151
## occupation_sales                          -0.2923557797717774575652
## occupation_tech_support                   -0.1571327022360491099118
## occupation_transport_moving               -0.1986111967626947027998
## relationship_husband                       0.2064931294503971614951
## relationship_not_in_family                 0.1836879626600800841096
## relationship_other_relative                0.0713515293652111498579
## relationship_own_child                     0.1483185633232372291346
## relationship_unmarried                     0.1290473437524724542591
## relationship_wife                          0.0880786045846096987688
## race_amer_indian_eskimo                    0.0006933644494587344696
## race_asian_pac_islander                    0.0011883363584194609006
## race_black                                 0.0020680859939134505626
## race_other                                 0.0006251748572245019279
## race_white                                 0.0024629561507045279363
## sex_female                                 0.0730172035917653894366
## sex_male                                   0.0730172035917645428915
## native_country_cambodia                   -0.0154362857702547932176
## native_country_canada                     -0.0385914158918725241909
## native_country_china                      -0.0321497024304649436921
## native_country_columbia                   -0.0273964215192843835167
## native_country_cuba                       -0.0348712293508173371004
## native_country_dominican_republic         -0.0297920652605101164700
## native_country_ecuador                    -0.0198476307127999108959
## native_country_el_salvador                -0.0366549533496011298306
## native_country_england                    -0.0329900012186196064934
## native_country_france                     -0.0181618186748787983908
## native_country_germany                    -0.0419788891162988508921
## native_country_greece                     -0.0211857402304068756504
## native_country_guatemala                  -0.0280554278449791291705
## native_country_haiti                      -0.0251347162431701035001
## native_country_holand_netherlands         -0.0030281418615922262028
## native_country_honduras                   -0.0131967371283971506013
## native_country_hong                       -0.0160186363528431602310
## native_country_hungary                    -0.0128449027853910335145
## native_country_india                      -0.0366549533496005192079
## native_country_iran                       -0.0226467541068138787652
## native_country_ireland                    -0.0181618186748782432793
## native_country_italy                      -0.0302482536814156557914
## native_country_jamaica                    -0.0306976041269017320412
## native_country_japan                      -0.0285396235598457982674
## native_country_laos                       -0.0138736203181335608636
## native_country_mexico                     -0.0900834452541257740821
## native_country_nicaragua                  -0.0209686769320466641353
## native_country_outlying_us(guam_usvi_etc) -0.0141999460336152578954
## native_country_peru                       -0.0203035082806701031033
## native_country_philippines                -0.0507821467143367219488
## native_country_poland                     -0.0272291593391472928898
## native_country_portugal                   -0.0238275257429051770530
## native_country_puerto_rico                -0.0399814091808115418258
## native_country_scotland                   -0.0135394168470387831621
## native_country_south                      -0.0303987818688313711502
## native_country_taiwan                     -0.0224438885574839153136
## native_country_thailand                   -0.0163019936938542456262
## native_country_trinadad&tobago            -0.0154362857702546214800
## native_country_united_states              -0.1813992013164972827433
## native_country_vietnam                    -0.0275626613421116606339
## native_country_yugoslavia                 -0.0145189251818250725928
##                                                                PC102
## l_capital_gain                             0.00000000000000000000000
## l_capital_loss                            -0.00000000000000027663418
## age                                       -0.00000000000000074265554
## fnlwgt                                     0.00000000000000058186460
## education_num                              0.09593815739270303288855
## hours_per_week                             0.00000000000000007285839
## workclass_federal_gov                     -0.00535643737987581171345
## workclass_local_gov                       -0.00779834324174273271768
## workclass_private                         -0.01359508069292971951803
## workclass_self_emp_inc                    -0.00577970409589892344243
## workclass_self_emp_not_inc                -0.00855788823000153478504
## workclass_state_gov                       -0.00626270538586369378276
## workclass_without_pay                     -0.00066489134034072579042
## education_1st_4th                          0.03186371372803759038916
## education_5th_6th                          0.04147463827296443000803
## education_7th_8th                          0.05089277321068111370472
## education_9th                              0.04164026638914807010305
## education_10th                             0.04956741234490091158049
## education_11th                             0.04979089814532186575313
## education_12th                             0.02585972453708243468107
## education_assoc_acdm                       0.01437401784397500034696
## education_assoc_voc                        0.02395406423321175606866
## education_bachelors                        0.01586841946190739593980
## education_doctorate                       -0.00765708329164661860577
## education_hs_grad                          0.09045180327737822878476
## education_masters                          0.00112833781768298391235
## education_preschool                        0.01967477965428978195495
## education_prof_school                     -0.00426506317664234000514
## education_some_college                     0.06419468814162049286054
## marital_status_divorced                    0.01669329256152034604566
## marital_status_married_af_spouse           0.00128220364549958194302
## marital_status_married_civ_spouse          0.02405192502610049853917
## marital_status_married_spouse_absent       0.00529466348369980570332
## marital_status_never_married               0.02254438981393127802710
## marital_status_separated                   0.00838331794461751218794
## marital_status_widowed                     0.00798750293090421531472
## occupation_adm_clerical                    0.09318188711001577917425
## occupation_armed_forces                    0.00499978705439253160586
## occupation_craft_repair                    0.09654553656411260509351
## occupation_exec_managerial                 0.09630061631780170716688
## occupation_farming_fishing                 0.05056616512858536777175
## occupation_handlers_cleaners               0.05906821676440679458331
## occupation_machine_op_inspct               0.07040146603536359681819
## occupation_other_service                   0.08760481781669476886165
## occupation_priv_house_serv                 0.02030401061334952128590
## occupation_prof_specialty                  0.09646402453618604933006
## occupation_protective_serv                 0.04129921140954210395657
## occupation_sales                           0.09221808305505065084251
## occupation_tech_support                    0.04956452920746189788614
## occupation_transport_moving                0.06264813321981450855436
## relationship_husband                      -0.06470157958702035805310
## relationship_not_in_family                -0.05755591659084101363586
## relationship_other_relative               -0.02235695041363496698983
## relationship_own_child                    -0.04647343645104765746945
## relationship_unmarried                    -0.04043508374596992138716
## relationship_wife                         -0.02759813297233073767223
## race_amer_indian_eskimo                   -0.00545685357467413142268
## race_asian_pac_islander                   -0.00935233629358539833576
## race_black                                -0.01627606153939807967501
## race_other                                -0.00492019407269056203297
## race_white                                -0.01938373258930570566805
## sex_female                                -0.09391689321118971978120
## sex_male                                  -0.09391689321118837363578
## native_country_cambodia                   -0.05458597328657401048790
## native_country_canada                     -0.13646741374949875047484
## native_country_china                      -0.11368815168104534629734
## native_country_columbia                   -0.09687954443555989170189
## native_country_cuba                       -0.12331204683199734062349
## native_country_dominican_republic         -0.10535104769800279767011
## native_country_ecuador                    -0.07018542258257363941620
## native_country_el_salvador                -0.12961967238372426591830
## native_country_england                    -0.11665962602958039606715
## native_country_france                     -0.06422403444570144726011
## native_country_germany                    -0.14844623596681122412733
## native_country_greece                     -0.07491726102283906285617
## native_country_guatemala                  -0.09920993026965646555126
## native_country_haiti                      -0.08888167593134005395328
## native_country_holand_netherlands         -0.01070815047252789836696
## native_country_honduras                   -0.04666645533012473562318
## native_country_hong                       -0.05664528819028405437486
## native_country_hungary                    -0.04542229463405733635994
## native_country_india                      -0.12961967238372260058377
## native_country_iran                       -0.08008371528624338986369
## native_country_ireland                    -0.06422403444570097541533
## native_country_italy                      -0.10696422649812367677846
## native_country_jamaica                    -0.10855322477003072345614
## native_country_japan                      -0.10092214878844713021877
## native_country_laos                       -0.04906005753877842184840
## native_country_mexico                     -0.31855412690530743313744
## native_country_nicaragua                  -0.07414967926242371776269
## native_country_outlying_us(guam_usvi_etc) -0.05021401432949404441963
## native_country_peru                       -0.07179750214057543933333
## native_country_philippines                -0.17957641787930908594539
## native_country_poland                     -0.09628806996866380585320
## native_country_portugal                   -0.08425917367983115635610
## native_country_puerto_rico                -0.14138272418542860431323
## native_country_scotland                   -0.04787824333703437351684
## native_country_south                      -0.10749652602531961642640
## native_country_taiwan                     -0.07936633977108958903912
## native_country_thailand                   -0.05764729971541285996617
## native_country_trinadad&tobago            -0.05458597328657428110477
## native_country_united_states              -0.64146596562424929022228
## native_country_vietnam                    -0.09746740363064609891097
## native_country_yugoslavia                 -0.05134199210357102971525
##                                                               PC103
## l_capital_gain                            -0.0000000000000003415612
## l_capital_loss                            -0.0000000000000004086849
## age                                       -0.0000000000000009216173
## fnlwgt                                     0.0000000000000004148781
## education_num                             -0.5138138401367129404207
## hours_per_week                            -0.0000000000000004342370
## workclass_federal_gov                      0.0013689912362283170304
## workclass_local_gov                        0.0019930903318604738760
## workclass_private                          0.0034746128825031822630
## workclass_self_emp_inc                     0.0014771691880510607990
## workclass_self_emp_not_inc                 0.0021872138431992460203
## workclass_state_gov                        0.0016006140238920142215
## workclass_without_pay                      0.0001699320562189731603
## education_1st_4th                         -0.0639482231569886289124
## education_5th_6th                         -0.0707591127947275883026
## education_7th_8th                         -0.0684936451358790221455
## education_9th                             -0.0377551743162137520837
## education_10th                            -0.0178213894260884492260
## education_11th                             0.0169827138232687274710
## education_12th                             0.0328482689464454497008
## education_assoc_acdm                       0.1970284028210219362531
## education_assoc_voc                        0.1825030756141776122625
## education_bachelors                        0.4849656328469444943607
## education_doctorate                        0.2074430242007861691089
## education_hs_grad                          0.2317005475143860682152
## education_masters                          0.3437679338826069574964
## education_preschool                       -0.0445034631231084332192
## education_prof_school                      0.2222322866763127846568
## education_some_college                     0.2874718617379221075048
## marital_status_divorced                    0.0500501633444202162493
## marital_status_married_af_spouse           0.0038443285925506753484
## marital_status_married_civ_spouse          0.0721129622492197169814
## marital_status_married_spouse_absent       0.0158745658614859765090
## marital_status_never_married               0.0675930400506198764132
## marital_status_separated                   0.0251350313876073337693
## marital_status_widowed                     0.0239482909038156895065
## occupation_adm_clerical                    0.0259848632470896685753
## occupation_armed_forces                    0.0013942493214326597516
## occupation_craft_repair                    0.0269228563891761168980
## occupation_exec_managerial                 0.0268545575029419392177
## occupation_farming_fishing                 0.0141009688314717544777
## occupation_handlers_cleaners               0.0164718657506946301872
## occupation_machine_op_inspct               0.0196322753708959123198
## occupation_other_service                   0.0244296319955978613603
## occupation_priv_house_serv                 0.0056620117441113330947
## occupation_prof_specialty                  0.0269001258031753946731
## occupation_protective_serv                 0.0115167699858080493924
## occupation_sales                           0.0257160951705677348622
## occupation_tech_support                    0.0138216508948962833736
## occupation_transport_moving                0.0174701674852363979251
## relationship_husband                      -0.0961083350690214166523
## relationship_not_in_family                -0.0854941000239025084007
## relationship_other_relative               -0.0332092244917339129984
## relationship_own_child                    -0.0690320797537710695302
## relationship_unmarried                    -0.0600626538332800150033
## relationship_wife                         -0.0409945263765445211401
## race_amer_indian_eskimo                    0.0188222802868016972355
## race_asian_pac_islander                    0.0322589368846717822192
## race_black                                 0.0561408855978091370087
## race_other                                 0.0169711850674268277528
## race_white                                 0.0668601498661432896986
## sex_female                                -0.0469205662041534826701
## sex_male                                  -0.0469205662041528442918
## native_country_cambodia                    0.0026797178645668394241
## native_country_canada                      0.0066994164349852402401
## native_country_china                       0.0055811438856252235455
## native_country_columbia                    0.0047559808922360306480
## native_country_cuba                        0.0060535971956970410085
## native_country_dominican_republic          0.0051718613330395939859
## native_country_ecuador                     0.0034455212466266166987
## native_country_el_salvador                 0.0063632492153691423004
## native_country_england                     0.0057270185932920218003
## native_country_france                      0.0031528666079683438997
## native_country_germany                     0.0072874771025800725785
## native_country_greece                      0.0036778152085581040237
## native_country_guatemala                   0.0048703834791088435746
## native_country_haiti                       0.0043633519837672756631
## native_country_holand_netherlands          0.0005256812398864441072
## native_country_honduras                    0.0022909353171669810667
## native_country_hong                        0.0027808131204351250153
## native_country_hungary                     0.0022298573617340693674
## native_country_india                       0.0063632492153690746461
## native_country_iran                        0.0039314451972263702098
## native_country_ireland                     0.0031528666079683651501
## native_country_italy                       0.0052510550120956536041
## native_country_jamaica                     0.0053290616280743004218
## native_country_japan                       0.0049544391856687058223
## native_country_laos                        0.0024084413029174735373
## native_country_mexico                      0.0156383615295831897296
## native_country_nicaragua                   0.0036401333201156516918
## native_country_outlying_us(guam_usvi_etc)  0.0024650909958851617391
## native_country_peru                        0.0035246609620256793768
## native_country_philippines                 0.0088157104485382005443
## native_country_poland                      0.0047269444090529341707
## native_country_portugal                    0.0041364255204920765199
## native_country_puerto_rico                 0.0069407173478758616911
## native_country_scotland                    0.0023504240424688143188
## native_country_south                       0.0052771864972819887071
## native_country_taiwan                      0.0038962280183831563864
## native_country_thailand                    0.0028300035630109523013
## native_country_trinadad&tobago             0.0026797178645667353407
## native_country_united_states               0.0314906505114500856468
## native_country_vietnam                     0.0047848398956041211794
## native_country_yugoslavia                  0.0025204653349329125128
##                                                                PC104
## l_capital_gain                             0.00000000000000000000000
## l_capital_loss                            -0.00000000000000025692881
## age                                       -0.00000000000000004178401
## fnlwgt                                     0.00000000000000031923179
## education_num                              0.11634329888698564936522
## hours_per_week                             0.00000000000000040245585
## workclass_federal_gov                     -0.00155953631808215375382
## workclass_local_gov                       -0.00227050157480770866542
## workclass_private                         -0.00395823204571248143946
## workclass_self_emp_inc                    -0.00168277117906494365178
## workclass_self_emp_not_inc                -0.00249164445586812569045
## workclass_state_gov                       -0.00182339786802924487541
## workclass_without_pay                     -0.00019358430227057167269
## education_1st_4th                          0.02863443501477189873095
## education_5th_6th                          0.03610121129860915933918
## education_7th_8th                          0.04257986257700104026913
## education_9th                              0.03312385547050751555265
## education_10th                             0.03688634543905575102762
## education_11th                             0.03378127961254989708451
## education_12th                             0.01529157822499299310137
## education_assoc_acdm                      -0.00826482523601662980028
## education_assoc_voc                       -0.00009654580038363563474
## education_bachelors                       -0.03420515674854131965565
## education_doctorate                       -0.02489344791062977901852
## education_hs_grad                          0.04253306739164042227230
## education_masters                         -0.03143606361360130191374
## education_preschool                        0.01815134288090193906418
## education_prof_school                     -0.02387049157514018610238
## education_some_college                     0.01864864259303963128778
## marital_status_divorced                    0.00859224758085765615012
## marital_status_married_af_spouse           0.00065996633861261570601
## marital_status_married_civ_spouse          0.01237982823693285251709
## marital_status_married_spouse_absent       0.00272522986951905139830
## marital_status_never_married               0.01160388090766375016050
## marital_status_separated                   0.00431499915692177063442
## marital_status_widowed                     0.00411126819243286950600
## occupation_adm_clerical                    0.01346361548894954747457
## occupation_armed_forces                    0.00072240660191286827033
## occupation_craft_repair                    0.01394962070191654163187
## occupation_exec_managerial                 0.01391423279420152085695
## occupation_farming_fishing                 0.00730617746814010531053
## occupation_handlers_cleaners               0.00853461743262342448224
## occupation_machine_op_inspct               0.01017212999173739383652
## occupation_other_service                   0.01265779883456206837689
## occupation_priv_house_serv                 0.00293367520512818067205
## occupation_prof_specialty                  0.01393784323490289585312
## occupation_protective_serv                 0.00596721873381281329302
## occupation_sales                           0.01332435787563840054459
## occupation_tech_support                    0.00716145362405275383300
## occupation_transport_moving                0.00905187051831478697861
## relationship_husband                       0.02048453306375909790948
## relationship_not_in_family                 0.01822221472714317253017
## relationship_other_relative                0.00707821498139758753521
## relationship_own_child                     0.01471349929390233790549
## relationship_unmarried                     0.01280175561736027547988
## relationship_wife                          0.00873757442983909456136
## race_amer_indian_eskimo                    0.19208789717231186666702
## race_asian_pac_islander                    0.32921363707116912955541
## race_black                                 0.57293720503335032745440
## race_other                                 0.17319682856970555762111
## race_white                                 0.68233101392176842558968
## sex_female                                 0.01524408365429517388245
## sex_male                                   0.01524408365429499173649
## native_country_cambodia                    0.00019083324809399053565
## native_country_canada                      0.00047709179220968122703
## native_country_china                       0.00039745520595907586625
## native_country_columbia                    0.00033869210394852841683
## native_country_cuba                        0.00043110046426261372076
## native_country_dominican_republic          0.00036830858573796434151
## native_country_ecuador                     0.00024536911872899050792
## native_country_el_salvador                 0.00045315200240168742457
## native_country_england                     0.00040784351759684024392
## native_country_france                      0.00022452803093987429512
## native_country_germany                     0.00051896990510994444289
## native_country_greece                      0.00026191168533763183957
## native_country_guatemala                   0.00034683916208900724592
## native_country_haiti                       0.00031073145522144925753
## native_country_holand_netherlands          0.00003743582852345611725
## native_country_honduras                    0.00016314651386604268023
## native_country_hong                        0.00019803263885820156036
## native_country_hungary                     0.00015879691244848097775
## native_country_india                       0.00045315200240195413831
## native_country_iran                        0.00027997367432233200620
## native_country_ireland                     0.00022452803093985534868
## native_country_italy                       0.00037394827908156127831
## native_country_jamaica                     0.00037950343699441250024
## native_country_japan                       0.00035282509953276898701
## native_country_laos                        0.00017151457724575791888
## native_country_mexico                      0.00111366922802555662689
## native_country_nicaragua                   0.00025922820986413975738
## native_country_outlying_us(guam_usvi_etc)  0.00017554882467744317622
## native_country_peru                        0.00025100496910777068699
## native_country_philippines                 0.00062780141200530659596
## native_country_poland                      0.00033662430178456109395
## native_country_portugal                    0.00029457112930151332615
## native_country_puerto_rico                 0.00049427577921970261739
## native_country_scotland                    0.00016738293995555668511
## native_country_south                       0.00037580920491314190801
## native_country_taiwan                      0.00027746572051260537644
## native_country_thailand                    0.00020153568373289078102
## native_country_trinadad&tobago             0.00019083324809397397446
## native_country_united_states               0.00224257307127525423729
## native_country_vietnam                     0.00034074726707654487586
## native_country_yugoslavia                  0.00017949224914054191880

We need 37 principal components to explain half of the variation of the data.

Visualizing Principle Components’ Ability to Explain Variation

Looking at at the plot below, we can see a visual ranking of how much of the variation each component captures. Each component is ranked according to its Eigenvalue. The eigenvalue is a measure of the proportion of variance explain by that component.

The scree plot helps us select a cut off point for determining how we can explain the most variation with the fewest components as possible. We evaluate the slope of the line connecting the components, and find the point when the absolute value of the slope becomes small, and each component following continues that trend. The ‘elbow’ in the plot below is at PC5. The components after PC5 do much less for us in accounting for the variance the income dataset.

screeplot(pr_income, type = "lines")

#elbow is around pc5

Interpretation of the Top 5 Principal Components

We will look at the factor loadings for each component to determine what each component is telling us about the data.

We can interpret factor loadings as coefficients of our linear combination for each feature within the principal component. They tell us the relative (transformed) value of each original feature. For example, a factor loading of -.75 for age would mean that this component contains the observations of younger people.

Component Interpretation

We want to find the most influential original features within our top 5 PCs. To this we will filter to show only those where at least one of the PCs has a factor loading greater than or equal to the absolute value of 0.25. This gives us the highlights of each component. Here are descriptions of the type of workers these principal components:

PC1: middle-aged husbands PC2: young men with little formal education PC3: Asian and Pacific Islander PC4: Career-focus males without family PC5: Mexican people

Note: these components are all quite male-dominated.

rownames_to_column(as.data.frame(pr_income$rotation)) %>%
select(1:6) %>%
filter(abs(PC1) >= 0.25 | abs(PC2) >= 0.25 | abs(PC3) >= 0.25 | abs(PC4) >= 0.25 | abs(PC5) >= 0.25) %>% rename("husbands" = PC1, "low_ed_male_laborer" = PC2, "asian_pac_isl" = PC3, "male_yopros" = PC4, "mexican" = PC5)
##                              rowname    husbands low_ed_male_laborer
## 1                                age  0.18536748        -0.091194280
## 2                      education_num  0.10559165        -0.456305049
## 3            marital_status_divorced -0.12297307        -0.121245468
## 4  marital_status_married_civ_spouse  0.39812029         0.064962147
## 5       marital_status_never_married -0.27611175         0.026881327
## 6          occupation_prof_specialty  0.06030228        -0.283025307
## 7               relationship_husband  0.41562618         0.100400172
## 8             relationship_own_child -0.18619502         0.088025922
## 9             relationship_unmarried -0.15438415        -0.061035972
## 10           race_asian_pac_islander -0.01133707         0.006958696
## 11                        race_black -0.11602195         0.029250746
## 12                        race_white  0.11374015        -0.046471243
## 13                        sex_female -0.33225474        -0.195130792
## 14                          sex_male  0.33225474         0.195130792
## 15             native_country_mexico -0.01221202         0.197502680
## 16      native_country_united_states  0.02207168        -0.180839129
##    asian_pac_isl  male_yopros      mexican
## 1     0.14546866 -0.351735676  0.043968457
## 2     0.02123203  0.229444433 -0.001380269
## 3     0.01730921 -0.254545406  0.075931750
## 4     0.06343668 -0.060996695 -0.082585727
## 5    -0.14483745  0.374119315  0.008549345
## 6     0.10002404  0.130027759  0.106651957
## 7     0.02193476 -0.015109831 -0.091256658
## 8    -0.16118057  0.290041931 -0.093754589
## 9     0.10824314 -0.277233657 -0.043232822
## 10    0.39994102  0.219542435 -0.113266352
## 11    0.16183171 -0.066337055 -0.451022089
## 12   -0.36865300 -0.048990952  0.459449764
## 13    0.08166583 -0.201765893  0.065149987
## 14   -0.08166583  0.201765893 -0.065149987
## 15    0.14470615  0.006009948  0.297613434
## 16   -0.44698474 -0.128490322 -0.288966406

Let us now determine if these principle components are good predictors of income_above_50k.

prc = bind_cols(select(income, income_above_50k), as.data.frame(pr_income$x)) %>%
  select(1:6) %>% 
filter(abs(PC1) >= 0.25 | abs(PC2) >= 0.25 | abs(PC3) >= 0.25 | abs(PC4) >= 0.25 | abs(PC5) >= 0.25) %>% rename("husbands" = PC1, "low_ed_male_laborer" = PC2, "asian_pac_isl" = PC3, "male_yopros" = PC4, "mexican" = PC5)

prc %>%
pivot_longer(cols = -income_above_50k, names_to = "component", values_to = "loading") %>% mutate(income_above_50k = as.factor(income_above_50k)) %>%
ggplot(aes(loading, fill=income_above_50k)) +
geom_density(alpha = 0.5) +
facet_grid(.~component)

Based on the density plots above, PC1 ‘husbands’ followed by PC2 ‘low_ed_male_laborer’ seem most predictive of income_above_50k.

Making a Logistic Regression Model using PC1 and PC2

What if we used only PC1 and PC2 to predict class using a logistic regression model?

prc$income_above_50k = factor(ifelse(prc$income_above_50k == 'TRUE', 'yes','no'),levels = c('yes','no'))

prc.pc1and2 = prc %>% select(income_above_50k, husbands, low_ed_male_laborer)

ctrl <- trainControl(method = "cv", number = 3, classProbs = TRUE, summaryFunction = twoClassSummary)

#splitting our data 
prc.pc1and2_index <- createDataPartition(prc.pc1and2$income_above_50k, p = 0.80, list = FALSE)
train <- prc.pc1and2[prc.pc1and2_index, ]
test <- prc.pc1and2[-prc.pc1and2_index, ]

fit.prc.pc1and2 = train(income_above_50k ~ .,
             data = train, 
             method = "glm",
             family = "binomial",
             metric = "ROC",
             trControl = ctrl)

confusionMatrix(predict(fit.prc.pc1and2, test),factor(test$income_above_50k))
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction  yes   no
##        yes 1085  587
##        no  1156 6215
##                                                
##                Accuracy : 0.8073               
##                  95% CI : (0.799, 0.8153)      
##     No Information Rate : 0.7522               
##     P-Value [Acc > NIR] : < 0.00000000000000022
##                                                
##                   Kappa : 0.4349               
##                                                
##  Mcnemar's Test P-Value : < 0.00000000000000022
##                                                
##             Sensitivity : 0.4842               
##             Specificity : 0.9137               
##          Pos Pred Value : 0.6489               
##          Neg Pred Value : 0.8432               
##              Prevalence : 0.2478               
##          Detection Rate : 0.1200               
##    Detection Prevalence : 0.1849               
##       Balanced Accuracy : 0.6989               
##                                                
##        'Positive' Class : yes                  
## 

The Specificity (true negative rate) is much higher lower than the Sensitivity (true positive) rate. This makes sense given that there are roughly 3x more ‘<50k’ than ‘50k’ observations in the data.

income %>% group_by(income_above_50k) %>% count()
## # A tibble: 2 × 2
## # Groups:   income_above_50k [2]
##   income_above_50k     n
##   <fct>            <int>
## 1 FALSE            34014
## 2 TRUE             11208

What if we add the rest of the principal components to the LR model?

prc_index <- createDataPartition(prc$income_above_50k, p = 0.80, list = FALSE)
train <- prc[prc_index, ]
test <- prc[-prc_index, ]

fit.allpc = train(income_above_50k ~ .,
             data = train, 
             method = "glm",
             family = "binomial",
             metric = "ROC",
             trControl = ctrl)

confusionMatrix(predict(fit.allpc, test),factor(test$income_above_50k))
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction  yes   no
##        yes 1104  564
##        no  1137 6238
##                                                
##                Accuracy : 0.8119               
##                  95% CI : (0.8037, 0.8199)     
##     No Information Rate : 0.7522               
##     P-Value [Acc > NIR] : < 0.00000000000000022
##                                                
##                   Kappa : 0.4481               
##                                                
##  Mcnemar's Test P-Value : < 0.00000000000000022
##                                                
##             Sensitivity : 0.4926               
##             Specificity : 0.9171               
##          Pos Pred Value : 0.6619               
##          Neg Pred Value : 0.8458               
##              Prevalence : 0.2478               
##          Detection Rate : 0.1221               
##    Detection Prevalence : 0.1845               
##       Balanced Accuracy : 0.7049               
##                                                
##        'Positive' Class : yes                  
## 

Not a significance increase in LR model performance. We will bring along PC1 and PC2 as guides for the rest of our journey.

PART II: K-means

Code adapted from This article on clustering

Major Assumptions: flnwgt does not include age information

# Drop target column and normalize data
#income_features =  recipe(~ ., data = income) %>%
 #step_rm(income_above_50k) %>%  ## will remove variables based on their name, type, or role
 #step_naomit(everything(), skip = TRUE) %>% 
  #step_dummy(all_nominal(), -all_outcomes()) %>% #converts our factor columns into numeric binary (0 and 1) variables.
  #step_zv(all_numeric(), -all_outcomes()) %>% ## step_zv(): removes any numeric variables that have zero variance.
  #step_normalize() %>% 
  #prep() %>% 
  #bake(new_data = NULL)

# Print out data
#income_features %>% 
  #slice_head(n = 5)

income_scaled = as.data.frame(lapply(income %>% select(-income_above_50k), function(x) scale(x, center = TRUE, scale = TRUE)))


income_features = bind_cols(prc %>% select(2:3), income_scaled)

Choosing number of clusters

For this exercise, we build a

set.seed(503)

# Create 10 models with 1 to 10 clusters
kclusts <- tibble(k = 1:10) %>% 
  mutate(
    model = map(k, ~ kmeans(x = income_features, centers = .x)),
    glanced = map(model, glance)) %>% 
  unnest(cols = c(glanced))

# View results
kclusts
## # A tibble: 10 × 6
##        k model       totss tot.withinss betweenss  iter
##    <int> <list>      <dbl>        <dbl>     <dbl> <int>
##  1     1 <kmeans> 5050066.     5050066.  -2.22e-5     1
##  2     2 <kmeans> 5050066.     5002611.   4.75e+4     1
##  3     3 <kmeans> 5050066.     4599933.   4.50e+5     4
##  4     4 <kmeans> 5050066.     4525683.   5.24e+5     4
##  5     5 <kmeans> 5050066.     4497399.   5.53e+5     4
##  6     6 <kmeans> 5050066.     4397761.   6.52e+5     5
##  7     7 <kmeans> 5050066.     4321297.   7.29e+5     4
##  8     8 <kmeans> 5050066.     4312093.   7.38e+5     4
##  9     9 <kmeans> 5050066.     4302771.   7.47e+5     6
## 10    10 <kmeans> 5050066.     4215190.   8.35e+5     5
# Plot Total within-cluster sum of squares (tot.withinss)
kclusts %>% 
  ggplot(mapping = aes(x = k, y = tot.withinss)) +
  geom_line(size = 1.2, alpha = 0.5, color = "darkseagreen") +
  geom_point(size = 2, color = "darkseagreen")+
  theme_minimal()+
  labs(title = "Total within-cluster sum of squares (tot.withinss)")
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

If we take a look at graph above, we can notice how the total within-cluster sum of squares decreases as the number of clusters increase. Considering the elbow method, which is the point where WCSS decreases much slower after adding another cluster, the number of clusters suggested is 7 (it appears that there is a bit of an elbow or “bend” at that point). A smaller WithinSS (or SSW) means there is less variance in that cluster’s data.

Analysis of cluster centers

set.seed(503)
# Fit and predict clusters with k = 3
final_kmeans <- kmeans(income_features, centers = 7, nstart = 100, iter.max = 1000)
## Warning: Quick-TRANSfer stage steps exceeded maximum (= 2261100)
final_kmeans
## K-means clustering with 7 clusters of sizes 9215, 1477, 8481, 2048, 5784, 6832, 11385
## 
## Cluster means:
##     husbands low_ed_male_laborer l_capital_gain l_capital_loss         age
## 1 -2.7297445          -0.2759099   -0.198069706   -0.119988857 -0.23157356
## 2 -0.6380062           4.2241956   -0.165536052   -0.107056924 -0.10619941
## 3 -1.0888871           0.9964358   -0.163410594   -0.087346410 -0.58354726
## 4 -0.5326338          -1.4560798    0.146150992    0.072624708  0.10967102
## 5 -0.8974086          -2.3127304    0.080449663    0.050697529  0.05030215
## 6  2.7423707          -1.3573604    0.402081043    0.240559416  0.45216429
## 7  2.0094291           1.1844507   -0.004924149   -0.007102903  0.31929125
##        fnlwgt education_num hours_per_week workclass_federal_gov
## 1 -0.01332680    -0.3260648     -0.4788903          -0.037829069
## 2  0.63117287    -1.9232894     -0.1255393          -0.159627228
## 3  0.06999104    -0.3913752     -0.1691089          -0.084702680
## 4 -0.08759274     0.2108513     -0.2880302          -0.007523982
## 5 -0.06136248     1.0436116      0.1416459           0.151577484
## 6 -0.05390728     1.1317791      0.4471669           0.134580614
## 7 -0.04395475    -0.4423143      0.2413852          -0.041988765
##   workclass_local_gov workclass_private workclass_self_emp_inc
## 1         -0.08404144        0.28598820            -0.17001422
## 2         -0.19626061        0.41059735            -0.14735394
## 3         -0.14296209        0.26861172            -0.12005897
## 4          0.15769330       -0.10463070            -0.03531089
## 5          0.32328507       -0.37992404             0.02074598
## 6          0.16952255       -0.53159418             0.54109066
## 7         -0.09435525        0.04599792            -0.08272872
##   workclass_self_emp_not_inc workclass_state_gov workclass_without_pay
## 1              -0.2111338665         -0.03718753           -0.01148029
## 2              -0.1317983346         -0.19203433           -0.02155415
## 3              -0.0850016092         -0.10746588            0.01675586
## 4               0.0195238546          0.03818573            0.04643704
## 5               0.0003009409          0.27527159           -0.02155415
## 6               0.1269504799          0.15652025           -0.01476034
## 7               0.1714635215         -0.10557625            0.01106092
##   education_1st_4th education_5th_6th education_7th_8th education_9th
## 1       -0.06402641       -0.09357358       -0.01599685  -0.006930832
## 2        2.04149225        2.78836734        0.40580600   0.451490424
## 3       -0.07023692       -0.10014062       -0.01706540   0.036167590
## 4       -0.07023692       -0.10014062       -0.05578506  -0.006496357
## 5       -0.07023692       -0.10014062       -0.13614714  -0.123186805
## 6       -0.07023692       -0.10014062       -0.13614714  -0.123186805
## 7       -0.07023692       -0.08242278        0.13391720   0.057769714
##   education_10th education_11th education_12th education_assoc_acdm
## 1     0.06207240    0.105187277    0.036184036         -0.006702235
## 2     0.07535966    0.004087475    0.109515504         -0.166806888
## 3     0.09641115    0.179198932    0.117441342         -0.054279697
## 4    -0.06437647   -0.105964954   -0.048425577          0.083658239
## 5    -0.16565392   -0.191760019   -0.109062011          0.149547676
## 6    -0.16491509   -0.191114961   -0.109770898          0.075292969
## 7     0.06286507    0.012009616   -0.000989485         -0.068707634
##   education_assoc_voc education_bachelors education_doctorate education_hs_grad
## 1        -0.001700628         -0.35071618        -0.108352936        0.19516671
## 2        -0.159579495         -0.39397735        -0.110343762       -0.35048421
## 3        -0.032662780         -0.35552841        -0.109262199        0.26558380
## 4         0.034253947          0.09700945        -0.002850822       -0.01716268
## 5         0.025850908          0.95342051         0.160841747       -0.62980551
## 6        -0.055333067          0.86581003         0.354200279       -0.64134340
## 7         0.060320160         -0.42156198        -0.110343762        0.39757489
##   education_masters education_preschool education_prof_school
## 1        -0.2321989         -0.03721127          -0.131248225
## 2        -0.2307989          1.16573482          -0.132910001
## 3        -0.2385014         -0.03993306          -0.132007203
## 4         0.1111233         -0.03993306           0.001679232
## 5         0.5413438         -0.03993306           0.145079747
## 6         0.5680097         -0.03993306           0.467785946
## 7        -0.2403181         -0.03993306          -0.132910001
##   education_some_college marital_status_divorced
## 1             0.26029978               0.4237359
## 2            -0.34762813              -0.2457561
## 3             0.14643227               0.1304589
## 4            -0.03696363              -0.4022052
## 5            -0.31153720               0.5950667
## 6            -0.31521844              -0.3945952
## 7             0.07941126              -0.4014441
##   marital_status_married_af_spouse marital_status_married_civ_spouse
## 1                     -0.018448501                       -0.91163128
## 2                     -0.026610254                       -0.01585235
## 3                     -0.022176192                       -0.91376690
## 4                      0.322266837                        1.05274544
## 5                     -0.026610254                       -0.92714757
## 6                     -0.015601683                        1.05990015
## 7                     -0.000185816                        1.06623754
##   marital_status_married_spouse_absent marital_status_never_married
## 1                           0.07759594                   0.40972990
## 2                           0.45608826                   0.04230271
## 3                           0.04775919                   0.86481240
## 4                          -0.11116210                  -0.69041612
## 5                           0.07147842                   0.48510266
## 6                          -0.10982914                  -0.68853779
## 7                          -0.10796251                  -0.69041612
##   marital_status_separated marital_status_widowed occupation_adm_clerical
## 1               0.26681319            0.374567691               0.5964540
## 2               0.13206986            0.005279633              -0.2559369
## 3               0.09316722           -0.087898422              -0.1416838
## 4              -0.17945978           -0.170465271               0.3888486
## 5               0.02737565            0.107153057              -0.1120948
## 6              -0.17440859           -0.165163778              -0.2504275
## 7              -0.17945978           -0.163042094              -0.2067430
##   occupation_armed_forces occupation_craft_repair occupation_exec_managerial
## 1             -0.01759752             -0.31711725                -0.19451677
## 2             -0.01759752              0.08845074                -0.32857404
## 3              0.03602117              0.24018832                -0.26176392
## 4             -0.01759752             -0.32862416                 0.09510417
## 5             -0.00776998             -0.33842916                 0.34625975
## 6              0.01568264             -0.30741735                 0.58702042
## 7             -0.01260477              0.48180311                -0.15022113
##   occupation_farming_fishing occupation_handlers_cleaners
## 1                -0.15039490                  -0.11117038
## 2                 0.39445923                   0.32632590
## 3                 0.09969586                   0.37175561
## 4                -0.13728679                  -0.15660200
## 5                -0.14604356                  -0.20936570
## 6                -0.09180305                  -0.19585259
## 7                 0.15027052                   0.02277991
##   occupation_machine_op_inspct occupation_other_service
## 1                  -0.00315603               0.44050381
## 2                   0.43182742               0.34256639
## 3                   0.11423801               0.12978797
## 4                  -0.06407017               0.04475994
## 5                  -0.25046782              -0.27480477
## 6                  -0.24208035              -0.31404983
## 7                   0.14547525              -0.17765077
##   occupation_priv_house_serv occupation_prof_specialty
## 1                 0.14388358                -0.3050936
## 2                 0.51575325                -0.3634910
## 3                -0.05860598                -0.3379195
## 4                 0.01020580                 0.2688844
## 5                -0.05970940                 0.8713049
## 6                -0.06976060                 0.6237046
## 7                -0.06935049                -0.3194768
##   occupation_protective_serv occupation_sales occupation_tech_support
## 1               -0.094005054       0.11537995              0.02404528
## 2               -0.115905631      -0.18284663             -0.14122811
## 3                0.011326791      -0.04405052             -0.04753537
## 4               -0.114918301      -0.08414215              0.02153444
## 5                0.008527286      -0.05791534              0.11636294
## 6                0.151639688       0.05817950             -0.01555116
## 7                0.008029442      -0.02720652             -0.01938833
##   occupation_transport_moving relationship_husband relationship_not_in_family
## 1                  -0.1880240          -0.83837728                  0.1928860
## 2                   0.0103104          -0.03527593                 -0.1116144
## 3                   0.1335390          -0.83813779                  0.4381345
## 4                  -0.1835986          -0.83837728                 -0.5908446
## 5                  -0.1970361          -0.83837728                  1.1334730
## 6                  -0.1984660           1.17342976                 -0.5838262
## 7                   0.3035973           1.18008735                 -0.5872346
##   relationship_other_relative relationship_own_child relationship_unmarried
## 1                  0.13211372              0.3813776             0.70586148
## 2                  0.66040658             -0.1577830             0.08717944
## 3                  0.19060589              0.7179856            -0.06282825
## 4                 -0.17534868             -0.4143332            -0.34411129
## 5                 -0.09912792             -0.1801502             0.14025457
## 6                 -0.15728061             -0.4097803            -0.33840271
## 7                 -0.15831058             -0.4111043            -0.34211299
##   relationship_wife race_amer_indian_eskimo race_asian_pac_islander  race_black
## 1       -0.22017979             0.038200500            -0.015903516  0.30508023
## 2       -0.08154854            -0.001439862             0.005838621 -0.14905090
## 3       -0.22017979             0.033123502            -0.011536019  0.08913338
## 4        4.54164250             0.021510381             0.049592212  0.01261872
## 5       -0.22017979            -0.033012942             0.032393818 -0.11091717
## 6       -0.22017979            -0.070059167             0.092876433 -0.22210030
## 7       -0.22017979            -0.000463200            -0.060403887 -0.10663288
##     race_other  race_white sex_female   sex_male native_country_cambodia
## 1 -0.006081141 -0.25770598  1.4292453 -1.4292453            -0.019457541
## 2  0.796014593 -0.07931044 -0.1734024  0.1734024             0.032503641
## 3 -0.001610612 -0.07819326 -0.6890225  0.6890225             0.020284844
## 4 -0.022118326 -0.03496430  1.4402511 -1.4402511            -0.023984566
## 5 -0.039584123  0.09684642  0.4520014 -0.4520014            -0.002347356
## 6 -0.058760033  0.17631898 -0.6934933  0.6934933            -0.023984566
## 7 -0.037796644  0.12840536 -0.6936183  0.6936183             0.016321270
##   native_country_canada native_country_china native_country_columbia
## 1          -0.014875386         -0.030487492             0.018596382
## 2          -0.048847383          0.044877567             0.036948750
## 3          -0.010957480         -0.021709301             0.012808626
## 4           0.053921774          0.037971227            -0.008189861
## 5           0.023517538          0.005357299            -0.026365701
## 6           0.015568837          0.073083461            -0.021978353
## 7          -0.004450494         -0.018382367            -0.001329888
##   native_country_cuba native_country_dominican_republic native_country_ecuador
## 1        0.0038040273                       -0.02759825            0.011399735
## 2        0.1082241867                        1.12437562            0.078982348
## 3       -0.0260046335                       -0.04636310           -0.004071481
## 4       -0.0002097586                       -0.01470085           -0.015008333
## 5       -0.0032278401                       -0.03515212           -0.030850423
## 6       -0.0110637415                       -0.04003559           -0.011854755
## 7        0.0105692540                       -0.04446457            0.009046319
##   native_country_el_salvador native_country_england native_country_france
## 1                -0.05329368           -0.004763749          -0.008987397
## 2                 1.54862041           -0.024933558          -0.028225686
## 3                -0.05710656           -0.007635263          -0.019864368
## 4                -0.04852851            0.034414226          -0.010913105
## 5                -0.05103193            0.026254207           0.051464866
## 6                -0.04167813            0.037204333           0.034050951
## 7                -0.05556349           -0.029076433          -0.018882823
##   native_country_germany native_country_greece native_country_guatemala
## 1             0.01110644          -0.016442371              -0.04115906
## 2            -0.06546779          -0.012355577               1.24617814
## 3            -0.02386707          -0.007847144              -0.04364986
## 4             0.01692380          -0.003251724              -0.04364986
## 5             0.01939979          -0.011914392              -0.03571324
## 6             0.01985320           0.020452950              -0.04364986
## 7            -0.00753085           0.015121219              -0.04364986
##   native_country_haiti native_country_holand_netherlands
## 1          0.010953292                        0.01837455
## 2          0.117022052                       -0.00470246
## 3          0.018305298                       -0.00470246
## 4         -0.001561846                       -0.00470246
## 5         -0.034661529                       -0.00470246
## 6         -0.031591004                       -0.00470246
## 7         -0.000835547                       -0.00470246
##   native_country_honduras native_country_hong native_country_hungary
## 1              0.01656535        -0.007440721           -0.009073947
## 2              0.11164742         0.029544091           -0.019954600
## 3              0.01401980        -0.010670507           -0.019954600
## 4              0.00332456         0.073253908            0.004524212
## 5             -0.02050163        -0.010990113            0.049385104
## 6             -0.01335935         0.028066102           -0.012616689
## 7             -0.02050163        -0.014297638            0.006465746
##   native_country_india native_country_iran native_country_ireland
## 1          -0.03804216        -0.022868719           -0.001292082
## 2          -0.04521229        -0.035211408           -0.028225686
## 3          -0.01360642        -0.008389600            0.017761559
## 4          -0.03137242         0.006440647           -0.028225686
## 5           0.02490100         0.018865211            0.002424527
## 6           0.13317745         0.060513534           -0.012656526
## 7          -0.04013280        -0.017728643            0.002917191
##   native_country_italy native_country_jamaica native_country_japan
## 1         -0.021663616            0.068318450          0.007013230
## 2          0.183540289           -0.019373586         -0.029129701
## 3         -0.024484599           -0.005730369         -0.009820242
## 4          0.004898403           -0.017050416          0.021697307
## 5         -0.024992362           -0.033271648         -0.017099234
## 6          0.002780470           -0.029356111          0.061276815
## 7          0.022110041           -0.010928156         -0.026569537
##   native_country_laos native_country_mexico native_country_nicaragua
## 1        -0.006443355            -0.1342064              0.020725246
## 2         0.135572848             4.0485100              0.112948566
## 3        -0.005135570            -0.1427395              0.003613831
## 4         0.023773309            -0.1322683              0.012388835
## 5        -0.021554146            -0.1316165             -0.021977588
## 6        -0.014760336            -0.1280912             -0.023606491
## 7         0.006984036            -0.1427395             -0.011017259
##   native_country_outlying_us.guam_usvi_etc. native_country_peru
## 1                             -0.0023769043        0.0200664672
## 2                             -0.0220616160       -0.0100870832
## 3                              0.0153680010        0.0058362525
## 4                              0.0000812817        0.0148987369
## 5                              0.0249805567       -0.0205935736
## 6                             -0.0220616160       -0.0176335526
## 7                             -0.0061288432       -0.0009168276
##   native_country_philippines native_country_poland native_country_portugal
## 1              -0.0050469470          -0.014129410             -0.02532116
## 2               0.0580106465          -0.026347966              0.14592275
## 3               0.0043745421           0.010621771              0.01074652
## 4               0.0630537192           0.003830261              0.01573178
## 5              -0.0004305018           0.002616419             -0.03237977
## 6               0.0153036563          -0.025051940             -0.03309650
## 7              -0.0270068665           0.019957165              0.02703965
##   native_country_puerto_rico native_country_scotland native_country_south
## 1                0.021567819           -0.0003894171          0.005560725
## 2                0.133956324            0.0111666352         -0.047311479
## 3                0.025030492           -0.0042106123         -0.007347582
## 4                0.047773229            0.0254118463          0.035436034
## 5               -0.048404666            0.0036341176         -0.003362592
## 6               -0.048182940           -0.0001499383          0.020901928
## 7               -0.008569669           -0.0043243968         -0.010098719
##   native_country_taiwan native_country_thailand native_country_trinadad.tobago
## 1           -0.01932740             0.004674978                    0.021285690
## 2           -0.03489522             0.001412851                    0.004259537
## 3           -0.02474613            -0.006700918                   -0.019065743
## 4            0.02114283             0.013244033                    0.037123648
## 5            0.02959117             0.001986205                   -0.016772163
## 6            0.08269283             0.003577598                   -0.011772464
## 7           -0.02985499            -0.004513865                    0.005328769
##   native_country_united_states native_country_vietnam native_country_yugoslavia
## 1                   0.09238820           0.0002202758             -0.0033054533
## 2                  -2.82319400           0.0520271920              0.0074709787
## 3                   0.11344850           0.0259885147             -0.0016392412
## 4                   0.01729990          -0.0314725956             -0.0009012734
## 5                   0.10719426          -0.0226840523             -0.0225576941
## 6                   0.04038956          -0.0326213854             -0.0030821307
## 7                   0.12516120           0.0104740572              0.0163991348
## 
## Clustering vector:
##     [1] 3 7 6 7 3 6 1 7 7 6 1 7 6 3 4 1 6 1 5 6 7 3 3 7 5 6 1 5 7 1 6 2 3 3 6 6
##    [37] 7 7 3 4 2 7 1 5 3 3 1 3 2 1 7 6 6 7 5 3 5 1 1 6 3 3 7 6 7 2 1 2 7 7 7 1
##    [73] 7 5 3 7 1 1 7 3 5 3 4 5 5 3 5 7 7 1 1 3 1 1 1 7 3 3 1 1 7 7 7 3 7 1 1 5
##   [109] 5 1 3 1 1 1 4 3 7 6 7 1 6 7 5 7 7 4 7 6 1 7 6 5 1 1 7 6 3 3 4 7 3 6 1 3
##   [145] 5 1 5 7 7 7 3 6 7 6 7 3 5 7 5 5 7 5 7 7 7 7 7 5 6 5 1 3 3 1 6 5 1 1 1 3
##   [181] 4 1 7 6 6 5 5 6 6 7 7 4 7 3 1 5 6 1 7 3 2 3 5 6 1 3 7 7 7 6 7 3 6 5 7 7
##   [217] 1 7 1 1 7 1 7 1 7 1 7 1 7 7 3 3 6 3 3 5 1 3 5 4 5 5 1 5 7 7 4 7 7 4 5 1
##   [253] 3 3 6 3 7 7 1 1 6 1 3 7 7 3 7 7 7 1 7 3 2 3 5 7 7 3 1 1 3 1 3 6 7 6 3 7
##   [289] 5 4 3 1 6 7 3 6 7 2 3 6 5 3 7 3 7 1 6 1 2 1 7 5 7 5 2 6 7 5 1 7 1 3 3 1
##   [325] 4 7 6 5 6 5 1 7 3 3 5 7 6 7 7 4 1 7 2 7 6 3 7 4 1 3 7 5 4 1 7 7 1 1 4 7
##   [361] 5 3 5 1 3 6 6 6 5 1 1 7 3 1 3 1 4 1 4 3 2 7 7 3 6 5 1 3 5 1 3 1 1 1 7 3
##   [397] 4 1 6 6 7 6 7 6 1 7 1 6 7 5 3 3 7 7 6 3 5 3 3 6 1 7 4 7 6 7 7 3 6 7 7 3
##   [433] 3 5 3 5 2 3 4 1 4 3 3 5 1 3 3 3 5 7 3 3 7 7 7 7 3 3 2 5 7 2 7 1 7 1 6 1
##   [469] 7 3 1 3 1 3 1 6 2 5 7 6 3 6 1 6 7 5 6 5 5 1 7 7 4 3 7 7 3 7 6 5 1 6 6 6
##   [505] 7 7 7 3 3 6 3 7 6 6 6 6 1 1 1 6 3 3 7 5 6 1 6 5 7 1 6 4 7 7 6 7 7 4 5 1
##   [541] 3 3 7 6 1 3 2 7 1 1 6 1 1 6 6 3 4 3 5 6 1 1 7 3 5 7 6 3 7 2 3 7 2 6 7 1
##   [577] 3 3 7 6 6 7 7 3 1 5 1 3 6 2 5 2 4 6 3 1 1 1 7 1 4 7 6 1 6 3 3 4 7 3 1 7
##   [613] 1 3 6 1 1 1 6 1 1 3 2 1 6 5 3 7 7 7 3 6 1 7 7 2 6 7 1 1 3 6 6 3 6 5 1 1
##   [649] 4 3 6 6 7 5 7 3 7 3 7 6 6 5 6 5 7 1 5 6 1 5 7 7 6 3 3 7 6 7 3 1 4 7 7 7
##   [685] 5 1 7 5 4 7 4 6 3 1 5 7 5 5 7 5 5 4 5 3 1 1 1 6 1 1 3 1 7 6 6 3 5 2 1 7
##   [721] 7 7 6 7 7 5 3 1 1 3 7 7 6 5 7 1 6 3 5 7 7 7 5 7 6 1 7 5 3 3 7 7 6 1 2 5
##   [757] 5 1 3 5 7 1 1 1 7 6 4 3 7 5 7 3 7 7 7 7 7 3 3 1 1 6 6 6 3 5 6 3 7 3 6 7
##   [793] 5 6 7 1 7 1 7 5 5 6 7 6 3 4 3 7 3 7 5 3 6 6 5 6 1 7 6 7 7 5 6 2 5 7 1 7
##   [829] 3 5 7 3 6 7 7 1 3 3 6 6 7 7 7 3 1 7 6 3 7 7 3 6 6 6 7 3 7 3 7 7 1 6 7 7
##   [865] 6 1 6 1 3 7 7 1 6 3 6 7 3 3 5 3 1 4 3 7 1 7 7 4 7 2 2 3 6 3 1 7 4 1 3 6
##   [901] 7 7 7 5 5 7 3 6 6 5 7 6 3 7 5 1 3 4 6 6 6 1 1 1 3 6 5 4 3 7 7 5 3 3 6 3
##   [937] 2 6 6 7 7 4 1 7 5 3 6 1 4 5 1 7 7 7 1 3 7 1 5 6 5 1 1 6 7 5 5 4 7 6 3 7
##   [973] 6 3 6 3 2 5 2 1 3 1 7 1 6 6 2 3 2 1 6 6 1 7 6 1 3 3 7 4 3 1 6 7 1 6 6 7
##  [1009] 3 7 2 3 7 6 5 3 1 6 7 2 1 7 1 3 5 7 6 7 6 7 1 7 3 5 7 7 6 6 7 7 7 3 1 5
##  [1045] 6 7 2 1 3 7 5 3 1 6 7 5 3 1 1 3 7 1 1 7 7 4 6 5 6 6 3 5 7 3 1 1 5 7 6 3
##  [1081] 5 7 1 1 1 1 3 5 5 5 4 5 1 2 7 7 3 6 1 3 3 5 3 7 5 5 1 1 6 3 7 7 5 1 3 3
##  [1117] 6 5 3 6 5 7 7 7 1 3 7 6 3 1 3 6 6 7 7 1 7 3 6 3 2 5 7 7 6 5 1 1 3 6 1 5
##  [1153] 3 6 4 1 7 4 3 5 7 6 7 5 7 1 3 4 1 7 3 7 3 1 6 3 3 7 7 5 2 5 7 2 1 1 7 1
##  [1189] 7 6 7 1 7 5 4 1 6 7 1 1 3 5 1 1 5 3 7 1 1 5 7 3 7 5 5 3 5 3 6 7 7 1 6 1
##  [1225] 5 7 3 6 7 6 7 3 7 5 6 3 7 4 6 7 5 5 6 7 5 5 3 3 7 7 3 6 2 3 7 5 4 6 7 6
##  [1261] 3 3 1 7 7 7 3 7 1 4 6 6 6 6 7 3 3 7 1 7 5 7 6 2 3 2 5 1 1 5 1 7 5 7 6 7
##  [1297] 3 2 6 5 4 3 4 7 6 7 1 1 6 3 6 5 1 3 5 4 5 6 6 5 5 3 5 1 3 1 4 6 3 7 5 5
##  [1333] 7 1 7 5 3 6 5 3 7 1 5 1 5 7 7 6 7 1 1 1 6 7 7 7 5 7 3 6 3 1 7 1 6 6 6 6
##  [1369] 1 3 7 5 6 6 1 2 7 3 1 7 3 1 6 6 2 5 1 1 5 3 7 6 6 7 7 1 7 7 7 5 7 6 7 6
##  [1405] 1 7 7 7 1 2 6 1 1 2 3 6 2 1 4 7 1 6 1 5 1 5 3 1 5 3 1 1 1 1 6 1 3 1 7 6
##  [1441] 6 6 7 5 1 7 1 6 7 5 3 3 3 5 5 1 3 1 7 2 7 7 5 1 7 1 2 1 5 5 5 1 6 3 6 4
##  [1477] 7 3 1 5 6 3 7 1 1 3 5 5 3 7 7 3 5 3 1 3 6 7 6 7 2 7 7 6 1 6 7 1 7 1 5 3
##  [1513] 3 1 7 3 1 3 1 3 1 7 6 7 3 1 7 7 7 7 2 1 1 7 1 7 1 6 5 2 3 1 6 3 7 3 7 6
##  [1549] 3 7 7 7 3 4 3 1 5 1 1 6 1 3 7 1 1 7 4 1 7 6 6 2 5 5 6 6 3 6 7 5 5 5 6 7
##  [1585] 1 6 3 1 7 6 7 2 3 7 2 6 7 6 7 3 5 5 7 4 7 1 1 7 7 3 3 5 7 6 5 7 3 3 7 1
##  [1621] 3 7 3 5 6 6 4 6 3 7 5 6 3 4 1 6 7 1 4 1 1 3 3 1 7 7 5 7 5 4 3 3 1 3 7 7
##  [1657] 4 1 1 7 1 5 1 4 3 5 6 6 3 3 5 5 4 1 1 1 5 7 2 1 6 1 7 7 7 4 1 1 5 6 3 4
##  [1693] 3 3 1 6 5 6 7 6 3 5 1 5 5 3 5 5 2 1 3 3 2 7 5 5 5 6 1 1 1 1 1 6 5 3 3 3
##  [1729] 1 3 7 7 3 6 3 1 7 1 7 6 1 4 2 1 6 3 2 3 1 5 3 3 6 1 3 7 1 7 6 1 7 3 1 4
##  [1765] 6 1 4 3 7 6 3 1 6 7 1 7 3 7 7 4 4 3 5 1 5 7 1 6 7 1 7 6 1 1 1 7 7 2 7 5
##  [1801] 7 5 1 1 7 5 7 3 3 1 1 4 3 1 6 6 6 6 3 5 7 1 3 6 6 4 5 7 6 3 6 3 3 7 5 2
##  [1837] 3 5 6 7 5 6 3 2 1 1 1 1 7 6 1 6 6 2 1 3 1 3 7 6 5 5 3 1 7 6 7 7 1 1 7 3
##  [1873] 4 4 5 3 1 6 7 2 3 3 4 5 5 6 6 3 5 3 5 1 3 7 7 1 6 1 5 3 1 3 4 5 1 3 1 1
##  [1909] 1 1 6 5 2 7 1 7 6 1 5 3 4 6 1 4 5 3 7 6 7 1 1 3 1 2 3 4 7 6 3 7 3 1 7 1
##  [1945] 7 3 3 1 5 6 3 1 1 1 1 6 1 6 3 1 1 1 6 6 1 7 6 6 3 7 1 2 7 7 7 7 1 6 1 1
##  [1981] 1 7 1 6 7 1 6 1 7 1 5 7 6 4 3 5 7 5 6 6 6 5 7 6 1 3 3 1 3 3 3 7 7 3 6 7
##  [2017] 7 7 1 5 6 3 5 5 3 7 6 1 6 5 3 2 5 2 1 1 7 1 7 3 5 1 3 7 1 7 6 5 7 5 6 6
##  [2053] 6 6 1 7 3 2 1 3 7 6 1 3 3 3 5 6 6 3 3 4 6 6 5 6 3 7 1 7 1 7 3 7 1 5 5 6
##  [2089] 1 3 3 3 7 6 7 3 6 5 7 5 7 6 3 1 6 7 7 1 1 5 6 7 1 1 3 5 6 1 6 7 1 1 6 7
##  [2125] 6 1 7 6 6 6 7 7 3 7 6 3 1 4 1 6 6 1 1 6 3 5 7 1 7 1 7 6 7 1 3 6 3 7 7 3
##  [2161] 3 5 6 1 6 1 6 7 1 5 3 6 5 7 3 7 1 6 1 6 3 3 5 1 1 7 1 7 2 5 7 7 5 1 5 5
##  [2197] 7 7 1 1 3 3 1 5 5 3 6 3 3 7 6 3 7 5 6 4 7 1 2 7 2 7 3 7 7 1 7 3 6 7 1 3
##  [2233] 6 1 1 5 1 5 5 6 6 7 1 5 6 5 3 1 4 1 6 3 1 6 6 1 6 5 1 3 6 3 7 7 7 1 1 7
##  [2269] 6 5 1 1 7 3 6 1 1 1 7 2 5 7 3 6 7 4 7 3 6 7 5 7 5 6 3 3 7 7 3 3 5 5 3 6
##  [2305] 1 1 6 7 5 5 5 1 3 3 5 5 5 6 2 7 4 1 7 5 7 1 6 1 6 1 3 6 6 1 3 3 6 7 1 3
##  [2341] 7 1 3 1 7 7 3 6 5 6 1 5 7 1 4 7 5 3 3 3 7 5 5 1 6 3 6 7 3 3 3 3 6 6 3 6
##  [2377] 4 7 1 3 7 6 1 7 7 7 1 1 1 1 7 6 4 7 7 5 7 7 5 7 1 5 7 1 6 7 1 3 1 1 1 3
##  [2413] 6 7 3 7 5 5 4 1 1 3 6 7 3 4 7 7 3 4 7 3 3 5 7 7 5 7 7 7 3 5 7 5 6 6 7 1
##  [2449] 3 5 3 7 7 6 7 6 2 4 7 6 6 7 3 6 1 5 7 7 1 7 4 7 7 3 3 3 5 1 5 3 6 7 1 1
##  [2485] 6 5 4 7 5 7 7 4 3 7 7 1 6 2 1 7 1 5 7 3 7 6 7 3 6 7 1 6 1 1 1 5 6 5 2 6
##  [2521] 1 1 3 6 3 7 5 1 5 5 3 4 1 1 6 1 7 7 2 1 1 3 1 1 7 1 3 3 5 2 1 3 6 5 4 3
##  [2557] 7 3 1 3 6 1 5 7 6 5 6 5 1 2 3 3 3 7 5 4 5 7 7 7 7 3 1 6 7 1 5 1 7 6 1 1
##  [2593] 7 1 1 7 7 5 6 7 3 3 7 1 3 7 7 3 6 5 3 5 3 7 1 1 3 5 7 4 7 7 7 2 3 1 7 7
##  [2629] 7 5 6 3 2 7 3 3 1 7 5 7 7 7 5 3 3 1 3 1 5 7 5 7 5 3 4 7 3 7 1 6 7 1 7 2
##  [2665] 3 1 3 7 6 1 4 3 7 1 1 7 1 7 3 5 6 7 5 4 5 2 1 7 5 7 5 3 5 6 7 5 3 1 6 5
##  [2701] 3 3 5 1 1 6 4 1 7 7 1 7 5 7 3 3 5 3 5 5 6 6 5 7 1 7 5 6 1 6 7 1 3 3 1 5
##  [2737] 1 5 7 7 7 7 1 6 2 2 6 3 2 7 7 1 5 2 5 3 2 2 4 7 1 6 5 4 7 7 7 3 3 3 5 7
##  [2773] 3 3 6 1 3 1 1 7 7 3 3 1 1 7 7 1 4 7 3 3 6 1 4 5 1 6 5 7 7 3 7 7 3 3 3 2
##  [2809] 5 6 1 1 1 1 6 1 6 6 3 3 4 7 4 3 6 6 5 3 3 6 7 5 7 1 1 1 1 3 5 1 1 1 7 7
##  [2845] 6 2 1 4 5 7 3 7 1 7 3 3 1 2 7 7 1 6 1 6 7 7 2 7 7 3 3 7 6 6 5 4 1 7 6 6
##  [2881] 2 7 3 1 1 1 7 7 1 1 1 7 4 7 1 6 3 7 5 1 5 1 7 7 2 1 2 6 7 1 3 7 3 1 6 3
##  [2917] 1 1 5 6 3 5 7 7 3 3 3 7 7 7 4 1 6 7 2 5 7 4 1 5 3 3 5 1 7 1 7 3 5 5 6 1
##  [2953] 3 5 3 1 7 3 1 5 3 5 5 7 3 3 1 3 1 3 6 3 7 4 1 3 6 3 7 6 6 5 7 7 1 3 3 2
##  [2989] 7 7 4 5 5 6 3 7 3 6 7 3 1 1 3 7 6 2 3 3 7 5 7 5 5 7 6 3 3 5 5 6 7 5 1 4
##  [3025] 3 3 7 3 5 3 3 1 2 6 7 7 1 7 1 4 6 1 5 5 7 1 4 5 7 3 1 7 7 7 6 3 7 3 4 7
##  [3061] 5 5 1 3 5 1 6 5 1 6 7 7 7 3 7 6 5 7 5 7 1 5 7 3 1 3 7 7 7 1 5 6 1 7 7 2
##  [3097] 7 6 7 1 5 3 1 3 1 5 6 3 3 3 6 7 5 6 3 3 5 7 3 3 5 3 1 6 6 6 3 7 4 1 7 1
##  [3133] 1 3 1 7 6 7 7 5 7 7 1 7 3 1 1 3 6 1 1 5 7 1 2 1 5 3 3 3 5 2 3 1 3 7 7 3
##  [3169] 6 1 3 6 7 7 1 3 5 7 6 3 7 3 6 5 5 6 7 5 1 6 3 1 7 6 1 5 1 3 5 5 6 3 6 7
##  [3205] 1 1 5 7 7 5 6 7 7 1 7 7 7 3 4 3 1 1 3 5 1 7 3 5 5 3 6 7 7 7 6 2 7 3 3 1
##  [3241] 7 7 4 6 3 7 7 6 7 3 1 1 7 3 7 6 6 1 6 5 7 1 1 1 5 7 3 2 7 7 6 4 5 7 1 7
##  [3277] 5 3 1 3 1 6 7 5 3 4 3 1 7 3 6 7 7 1 1 7 3 7 6 7 5 7 1 1 2 6 7 1 5 3 6 1
##  [3313] 7 3 7 7 1 7 7 3 1 7 7 1 1 6 3 7 3 7 2 3 7 5 7 7 1 6 3 1 6 7 7 4 3 7 4 2
##  [3349] 4 1 7 6 1 1 7 3 7 5 7 3 7 3 1 1 7 4 1 5 1 1 3 6 1 3 7 5 6 4 3 5 1 7 3 6
##  [3385] 1 5 3 5 1 7 6 5 3 7 7 7 3 4 1 1 1 3 1 1 3 1 3 1 2 3 1 6 5 1 7 3 6 6 7 3
##  [3421] 1 1 6 4 7 1 1 1 1 1 3 1 3 6 1 3 5 5 3 3 7 5 7 7 3 7 7 6 5 3 2 1 2 5 7 6
##  [3457] 7 1 7 4 5 6 3 6 7 1 1 5 7 3 1 3 1 6 1 5 5 3 1 6 5 5 6 6 7 7 5 5 5 6 6 3
##  [3493] 5 3 3 7 1 4 7 1 1 5 6 6 5 1 5 7 1 3 1 1 7 3 7 3 7 2 7 7 1 7 1 1 3 6 3 7
##  [3529] 5 6 3 7 6 3 5 3 7 6 1 5 7 1 3 1 1 6 1 3 6 1 7 7 1 5 1 6 3 1 7 3 7 3 3 7
##  [3565] 3 1 1 7 1 6 2 1 6 1 7 3 7 1 6 6 7 1 1 1 5 4 1 1 6 7 7 6 3 3 4 6 3 3 1 7
##  [3601] 1 1 6 5 7 1 3 3 3 7 5 7 6 1 1 3 7 7 1 5 3 6 6 2 7 1 3 1 3 1 3 1 5 1 1 5
##  [3637] 6 6 7 7 6 3 7 3 3 7 4 7 7 6 3 7 3 6 3 5 7 7 5 5 5 1 7 3 3 4 7 1 7 3 2 3
##  [3673] 1 7 5 6 6 7 7 6 5 7 3 3 6 2 7 6 6 5 7 5 7 7 5 5 6 1 6 5 7 1 7 1 4 5 5 6
##  [3709] 6 7 3 3 6 1 3 6 1 1 7 7 3 5 7 6 5 7 7 5 4 7 7 3 1 3 6 6 7 7 2 1 3 7 7 1
##  [3745] 5 7 6 1 7 7 7 1 7 4 3 3 7 1 7 2 7 1 3 5 7 7 3 6 6 7 6 3 7 7 6 1 5 3 1 1
##  [3781] 7 7 5 2 3 3 6 5 1 7 6 6 3 7 7 3 3 4 1 6 5 1 1 7 3 6 1 1 1 1 3 4 3 1 5 2
##  [3817] 3 3 7 7 7 7 1 6 3 1 5 6 1 6 3 7 1 7 3 2 5 4 1 1 3 7 1 7 7 3 3 6 7 1 5 7
##  [3853] 5 5 3 6 6 6 1 6 5 5 6 7 3 3 7 1 7 6 5 1 5 3 3 3 3 1 3 7 4 3 7 1 3 1 6 5
##  [3889] 1 1 3 1 7 2 5 5 6 1 1 6 1 7 6 3 6 6 5 5 3 1 7 3 7 1 1 1 5 7 5 3 6 6 1 3
##  [3925] 5 7 7 7 1 3 1 1 1 1 4 5 4 6 7 3 7 3 7 6 1 7 3 4 2 7 2 4 7 1 7 5 6 1 7 3
##  [3961] 7 7 6 7 6 7 1 6 5 6 3 7 1 7 7 1 3 1 5 7 1 6 5 1 1 5 6 1 7 7 5 3 3 6 6 7
##  [3997] 4 3 7 1 6 7 3 7 3 3 1 1 4 4 1 3 3 5 1 5 7 3 6 3 6 7 1 1 7 7 5 3 2 7 7 1
##  [4033] 3 1 5 4 7 6 1 3 1 3 3 1 1 1 3 7 6 1 1 3 3 6 1 6 6 2 6 1 3 4 7 1 4 1 7 1
##  [4069] 4 5 1 1 7 5 3 3 1 3 5 5 7 5 4 5 2 6 4 3 5 5 3 4 5 7 3 7 6 6 7 4 3 2 7 7
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## [44497] 2 1 1 5 1 7 5 3 7 5 3 7 1 6 4 6 6 6 7 2 6 2 6 6 7 3 3 1 6 1 6 3 4 6 3 6
## [44533] 6 3 5 6 7 1 4 3 7 6 7 6 3 6 7 7 4 1 5 3 2 3 7 1 7 6 5 7 5 3 7 3 1 5 1 3
## [44569] 1 7 5 7 7 3 1 7 6 1 2 3 3 5 6 7 6 2 1 1 7 6 7 3 5 4 5 1 6 4 7 3 7 5 7 1
## [44605] 5 7 7 3 1 6 7 3 5 7 6 3 3 4 6 7 5 7 5 3 3 3 3 2 1 4 1 5 4 6 3 7 7 7 1 5
## [44641] 3 1 7 1 6 3 6 7 7 1 5 2 7 6 1 1 6 6 7 7 4 1 5 1 4 3 1 6 3 3 7 1 1 6 3 7
## [44677] 1 6 5 6 1 6 3 3 7 7 7 1 3 6 7 2 5 6 3 7 3 6 5 7 3 7 7 7 1 3 6 7 6 3 7 7
## [44713] 1 6 7 7 6 7 5 5 5 1 5 1 7 1 3 7 7 3 5 6 6 1 2 4 7 7 2 3 6 6 6 3 1 5 2 1
## [44749] 6 3 3 6 7 1 6 7 5 3 1 6 1 7 7 6 5 4 7 5 7 3 7 5 1 4 7 7 5 6 5 7 3 7 7 3
## [44785] 7 5 6 7 5 3 3 7 1 3 5 5 7 5 3 1 3 6 3 7 6 7 6 4 7 7 1 7 3 3 3 5 3 7 5 1
## [44821] 1 7 6 6 3 7 1 5 5 5 3 6 1 1 1 3 4 7 3 5 6 1 6 1 3 2 7 3 6 6 3 5 1 7 6 6
## [44857] 5 1 5 5 1 3 3 4 6 5 5 7 7 5 7 1 6 7 6 3 6 5 1 5 5 7 5 3 1 7 7 4 6 7 6 3
## [44893] 6 5 1 3 3 3 6 1 1 2 3 7 1 7 3 1 7 6 1 2 7 1 1 6 1 6 7 1 7 3 7 3 6 1 7 5
## [44929] 3 3 1 3 7 5 5 6 6 7 4 3 1 5 7 6 1 7 3 4 2 7 6 6 6 7 1 7 6 7 3 7 3 1 1 3
## [44965] 1 6 3 7 5 5 1 6 3 3 1 7 1 6 7 1 4 1 6 6 7 7 3 7 2 7 7 5 2 3 7 3 7 1 2 6
## [45001] 1 7 3 1 6 5 3 6 7 1 2 6 2 1 5 1 7 5 5 7 5 3 7 4 6 1 7 3 7 3 1 6 3 1 7 2
## [45037] 7 5 7 7 7 6 1 7 3 3 5 6 7 5 1 7 1 7 2 3 5 7 1 5 7 7 4 1 1 7 7 3 3 5 3 3
## [45073] 1 1 3 6 6 1 7 2 1 7 1 3 5 7 1 3 3 1 7 7 1 5 6 5 4 1 1 6 2 1 4 5 7 1 2 6
## [45109] 1 7 6 3 6 5 3 7 3 1 7 1 1 3 7 7 1 7 7 1 6 3 6 6 6 1 5 7 7 6 1 6 7 3 5 3
## [45145] 6 5 7 3 7 3 4 6 1 7 1 5 4 1 7 3 7 1 1 3 3 1 7 3 3 7 6 7 5 3 7 6 2 1 1 3
## [45181] 4 7 7 1 7 7 7 1 7 7 3 1 7 3 4 1 6 6 1 3 5 3 5 1 5 1 4 5 2 5 1 7 7 7 5 6
## [45217] 3 4 7 1 3 4
## 
## Within cluster sum of squares by cluster:
## [1] 891850.9 458095.2 762949.4 219191.0 512456.9 609274.8 851664.8
##  (between_SS / total_SS =  14.7 %)
## 
## Available components:
## 
## [1] "cluster"      "centers"      "totss"        "withinss"     "tot.withinss"
## [6] "betweenss"    "size"         "iter"         "ifault"
# Adding cluster to the data set
results_cluster <- augment(final_kmeans, income_features)

results_cluster %>% group_by(.cluster) %>% count()
## # A tibble: 7 × 2
## # Groups:   .cluster [7]
##   .cluster     n
##   <fct>    <int>
## 1 1         9215
## 2 2         1477
## 3 3         8481
## 4 4         2048
## 5 5         5784
## 6 6         6832
## 7 7        11385

From the output, we see that three clusters have been found. For each cluster, the squared distances between the observations to the centroids are calculated. So, each observation will be assigned to one of the five clusters.

Bivariate chart(s) against meaningful variables and/or analysis of density plots

Now, I will visualize the scatter plot between husbands and fnlwgt and color the points based on the cluster id:

clust_spc_plot <- results_cluster  %>% 
    ggplot(mapping = aes(x = low_ed_male_laborer, y = husbands)) +
    geom_point(aes(shape = .cluster, color= .cluster),size = 2,alpha=0.3)+ 

  scale_color_manual(values = c("darkslateblue","goldenrod","deeppink", "green", "red", "yellow", "skyblue"))+ theme_minimal()


clust_spc_plot
## Warning: The shape palette can deal with a maximum of 6 discrete values because
## more than 6 becomes difficult to discriminate; you have 7. Consider
## specifying shapes manually if you must have them.
## Warning: Removed 11385 rows containing missing values (`geom_point()`).

clust_spc_plot2 <- results_cluster  %>% 
    ggplot(mapping = aes(x = age, y = education_num)) +
    geom_point(aes(shape = .cluster, color= .cluster),size = 2,alpha=0.3)+ 

  scale_color_manual(values = c("darkslateblue","goldenrod","deeppink", "green", "red", "yellow", "skyblue"))+ theme_minimal()


clust_spc_plot2
## Warning: The shape palette can deal with a maximum of 6 discrete values because
## more than 6 becomes difficult to discriminate; you have 7. Consider
## specifying shapes manually if you must have them.
## Warning: Removed 11385 rows containing missing values (`geom_point()`).

clust_spc_plot3 <- results_cluster  %>% 
    ggplot(mapping = aes(x = education_num, y = fnlwgt)) +
    geom_point(aes(shape = .cluster, color= .cluster),size = 2,alpha=0.3)+ 

  scale_color_manual(values = c("darkslateblue","goldenrod","deeppink", "green", "red", "yellow", "skyblue"))+ theme_minimal()


clust_spc_plot3
## Warning: The shape palette can deal with a maximum of 6 discrete values because
## more than 6 becomes difficult to discriminate; you have 7. Consider
## specifying shapes manually if you must have them.
## Warning: Removed 11385 rows containing missing values (`geom_point()`).

Looking at clusters in terms of PC1 and PC2, we see good distinct among the clusters.

results_cluster %>%
pivot_longer(c(husbands, low_ed_male_laborer),names_to = "feature") %>%
ggplot(aes(value, fill=.cluster))+
geom_density(alpha=0.3)+
facet_wrap(~feature)

level of education, hours per week worked

results_cluster %>%
pivot_longer(c(age, hours_per_week),names_to = "feature") %>%
ggplot(aes(value, fill=.cluster))+
geom_density(alpha=0.3)+
facet_wrap(~feature)

Meaningful interpretation / discussion of conclusions

We think that k-means is not suitable for this dataset. Some of these plots do not show clear definition of clusters and the plot clust_spc_plot shows non-spherical shape, the algorithm suggests that each point is close to each other (A to B and B to C, and so on). Analyzing the ratio between_SS / total_SS, we see that the differences between clusters explain 14.7% of the total variation in the dataset.

A negative value of between_SS is mathematically possible, but it can occur only in certain circumstances. Specifically, negative values of between_SS can occur when the clusters are too small and the variance within the clusters is greater than the variance between the clusters. In such cases, the total sum of squares can be smaller than the sum of squares due to the between-cluster differences, resulting in a negative value for between_SS.

However, negative values of between_SS are generally uncommon and may indicate issues with the cluster analysis, such as inappropriate choice of clustering algorithm or incorrect data preprocessing. It’s important to investigate the reasons behind the negative value and to ensure that the results of the analysis are valid and reliable.

We suggest using an algorithm that handle non-spherical shaped data as well as other forms, such as Gaussian Mixtures Models [https://jakevdp.github.io/PythonDataScienceHandbook/05.12-gaussian-mixtures.html]

Nevertheless, we will add our cluster column to our dataset to see if it helps our predictive modeling.

# adding PC1 and PC2 to ds 
income = bind_cols(prc %>% select(2:3), income) %>% relocate(income_above_50k)
# adding clusters 
income = bind_cols(income, results_cluster[107])
income = income %>% rename("cluster" = .cluster)

PART III SUPERVISED LEARNING

Logistic Regression Model to examine log-odds of each feature

# income = income %>% mutate(income_above_50k = factor(ifelse(income_above_50k == 'TRUE','yes','no'), levels = c('yes','no')))
# 
# income_index <- createDataPartition(income$income_above_50k, p = 0.80, list = FALSE)
# train <- income[income_index, ]
# test <- income[-income_index, ]
# 
# control <- trainControl(method = "cv", number = 5)
# 
# # fit.lr <- train(income_above_50k ~ .,
#              data = train, 
#              trControl = control,
#              # method = "glm",
#              family = "binomial")
# 
# 
# odds_ratio = exp(coef(fit.lr$finalModel))
# data.frame(name = names(odds_ratio), odds_ratio = odds_ratio) %>%
# arrange(desc(odds_ratio)) 
# 
# view(odds_ratio)
# 
# confusionMatrix(predict(fit.lr, test),factor(test$income_above_50k))
# 
# myRoc <- roc(test$income_above_50k, predict(fit.lr, test, type="prob")[,2])
# 
# plot(myRoc, main = 'AUC = .89')
# auc(myRoc)

PC1, education, and marital status are meaningful variables in predicting income level.

Feature Engineering

age_dummies = income %>% mutate(age_bin = case_when( 
                      age < 20 ~ "teen", 
                      age >=20 & age <30 ~ "20-29",
                      age >=30 & age <40 ~ "30-39", 
                      age >=40 & age <50 ~ "40-50",
                      age >=50 & age <66 ~ "50-65",
                      age >=65  ~ "65+")) %>% select(age_bin) %>%  dummy_cols(remove_selected_columns = T)

#people who work over 40 hours a week will get overtime pay if an hourly worker. 
income = bind_cols(income, age_dummies) %>% mutate(overtime = as.numeric(ifelse(hours_per_week > 40, 1, 0)))

Gradient Boosted Model

# #resplitting after addition of new features: 
# income_index <- createDataPartition(income$income_above_50k, p = 0.80, list = FALSE)
# train <- income[income_index, ]
# test <- income[-income_index, ]
# 
# #checking for variables with 0 variance 
# #vzv_vals = nearZeroVar(income, saveMetrics = TRUE)
# 
# 
# ctrl <- trainControl(method = "cv", number = 3, classProbs=TRUE, summaryFunction = twoClassSummary)

#fit.gbm <- train(income_above_50k ~ .,
             #data = train, 
             #method = "gbm",
             #tuneLength = 4, 
             #preProcess = c("center","scale"),
             #metric = "ROC",
             #trControl = ctrl)


#confusionMatrix(predict(fit.gbm, test),factor(test$churn))

#myRoc <- roc(test$income_above_50k, predict(fit.gbm, test, type="prob")[,2])

#plot(myRoc)
#auc(myRoc)

The results from the training above tells that we could further tune parameters for performance:

# grid.gbm = expand.grid(interaction.depth = seq(4,8,1),
#                        n.trees = seq(200,400,50),
#                        shrinkage = 0.1, 
#                        n.minobsinnode = 10)
# 
# fit.gbm.2 <- train(income_above_50k ~ .,
#              data = train, 
#              method = "gbm",
#              tuneGrid = grid.gbm, 
#              preProcess = c("center","scale"),
#              metric = "ROC",
#              trControl = ctrl)
# 
# confusionMatrix(predict(fit.gbm.2, test),factor(test$income_above_50k))
# #kappa - .60 
# 
# 
# myRoc <- roc(test$income_above_50k, predict(fit.gbm.2, test, type="prob")[,2])
# 
# plot(myRoc, main = "AUC = .92")
# auc(myRoc)
# 
# #AUC = .92
# 
# print(fit.gbm.2$bestTune)

Downsampling training data to remove imbalance of income_above_50k:

# income_index <- createDataPartition(income$income_above_50k, p = 0.80, list = FALSE)
# train <- income[income_index, ]
# test <- income[-income_index, ]
# 
# traindown = downSample(x = train[,-1], y= train$income_above_50k) %>% mutate(income_above_50k = Class) %>% select(-Class)
# 
# traindown %>% group_by(income_above_50k) %>% count()
# 
# fit.gbm.3 <- train(income_above_50k ~ .,
#              data = traindown, 
#              method = "gbm",
#              tuneGrid = fit.gbm.2$bestTune, 
#              preProcess = c("center","scale"),
#              metric = "ROC",
#              trControl = ctrl)
# 
# #checking performance of downsampled training on test data 
# confusionMatrix(predict(fit.gbm.3, test),factor(test$income_above_50k))
# 
# myRoc <- roc(test$income_above_50k, predict(fit.gbm.3, test, type="prob")[,2])
# 
# plot(myRoc)
# auc(myRoc)
# #AUV = 0.917

Conclusion: the difference between the two training sets is negligible.

Given the relative success of a gradient boosted, let’s try XG Boost:

# grid.xgb=expand.grid(nrounds=50, #number of trees in final model 
#                      eta=c(.1,.3,.7), # our shrinkage parameter 
#                      max_depth=seq(4,8,1),
#                      gamma = 0, 
#                      min_child_weight = 1,
#                      subsample = 1,
#                      colsample_bytree = 1)
# 
# fit.xgb <- train(income_above_50k ~ .,
#              data = train,
#              method = "xgbTree",
#              tuneGrid = grid.xgb,
#              verbose=FALSE,
#              trControl = ctrl)
# 
# confusionMatrix(predict(fit.xgb, test),factor(test$income_above_50k))
# 
# myRoc <- roc(test$income_above_50k, predict(fit.xgb, test, type="prob")[,2])
# 
# plot(myRoc)
# auc(myRoc) #0.926
# 
# fit.xgb$bestTune

Upsampling training data to equalizes classes:

Note that we are not touching the test data!

# set.seed(1001)
# income_index <- createDataPartition(income$income_above_50k, p = 0.80, list = FALSE)
# train <- income[income_index, ]
# test <- income[-income_index, ]
# 
# train_up = upSample(x = train[,-1], y= train$income_above_50k) %>% mutate(income_above_50k = Class) %>% select(-Class)
# 
# fit.xgb.tu.2 <- train(income_above_50k ~ .,
#              data = train_up,
#              method = "xgbTree",
#              tuneGrid = fit.xgb$bestTune,
#              preProcess = c("center","scale"),
#              metric = "ROC",
#              verbose=FALSE,
#              trControl = ctrl)
# 
# confusionMatrix(predict(fit.xgb.tu.2, test),factor(test$income_above_50k))
# 
# myRoc <- roc(test$income_above_50k, predict(fit.xgb.tu.2, test, type="prob")[,2])
# 
# plot(myRoc)
# auc(myRoc)

Choice of Metric:

We chose ROC/AUC as our metric to determine model performance because this is a binary classification problem. Given that there are 3x more negative (<50K) observations, our priority was improving the true positive (sensitivity) rate of our model. We can most easily interpret our TP rate in terms of the ROC/AUC metric. The ROC curve is helpful in showing us our TP vs FP at many different cut offs (decision threshold) for classification.

Conlusion:

Applying PCA helped us find a signal in an otherise noisy dataset. K-means unsupervised learning did not meaningfully assist us to make predictions. We were able to improve the amount of true positives in validating our model as a result of training on an a balanced training dataset.